Shengxiang Yang

445 papers A 12B 54C 5Misc 2Journal 295Unranked 66
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Decomposition-Based Evolutionary Algorithm With Clustering and Hierarchical Estimation for Multiobjective Fuzzy Flexible Jobshop Scheduling.
IEEE Trans. Evol. Comput.
Xuwei Zhang, Shixin Liu, Ziyan Zhao, Shengxiang Yang
2026 J jnl
A knee-guided prediction model oriented to population composition structures for dynamic multi-objective evolutionary optimization.
Swarm Evol. Comput.
Ziwen Huang, Yue Xu, Dechang Pi, Shengxiang Yang
2026 J jnl
AdaptiveStreamFL: A Bayesian-enhanced multi-scale federated learning framework for dynamic data streams with uncertainty quantification.
Expert Syst. Appl.
Tai Xiong, Chi Zhang, Miao Rong, Dunwei Gong, Shengxiang Yang
2026 J jnl
Aircraft maintenance scheduling optimization with the impact of human errors.
Reliab. Eng. Syst. Saf.
Xianrui Yu, Qiuhong Zhao, Shengxiang Yang, Xiaohang Yue
2026 J jnl
Algorithm 1060: EDOLAB, a Platform for Research and Education in Evolutionary Dynamic Optimization.
ACM Trans. Math. Softw.
Mai Peng, Delaram Yazdani, Danial Yazdani, Zeneng She, Wenjian Luo, Changhe Li, Juergen Branke, Trung Thanh Nguyen, Amir H. Gandomi, Shengxiang Yang, Yaochu Jin, Xin Yao
2026 J jnl
An Improved Reference Point-Based Evolutionary Algorithm for Dynamic Multi-Objective Optimization With Preferences.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhanglu Hou, Juan Zou, Yizhang Xia, Linshan Gao, Yuan Liu, Shengxiang Yang
2026 J jnl
An improved adaptive large neighborhood search algorithm for integrated scheduling of distributed production and distribution systems.
Memetic Comput.
Jiawen Deng, Jihui Zhang, Shengxiang Yang
2026 J jnl
Collaboration-Competition Estimation of Distribution Algorithm for Flexible Job Shop Co-Scheduling With Multiload AGVs.
IEEE Trans. Syst. Man Cybern. Syst.
Yao Huang, Yinan Guo, Hong Wei, Jianbin Xin, Shengxiang Yang
2026 J jnl
Distributed Swarm Attention Learning Optimizer With Sensitive Search Transition for Large-Scale Optimization.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhangqian Wu, Wei Song, Xiaoyan Zhao, Yinan Guo, Shengxiang Yang
2026 J jnl
Dual-Population Evolution-Based Collaborative Optimization for Coordinated UAVs Mission Patrol Under Mountainous Environments.
IEEE Trans. Emerg. Top. Comput. Intell.
Yunhe Wang, Wenyuan Xiao, Dong Wang, Yajuan Zhang, Qingda Chen, Shengxiang Yang
2026 J jnl
Dynamic Multiobjective Optimisation Based on Vector Autoregressive Evolution.
IEEE Trans. Evol. Comput.
Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang
2026 J jnl
Dynamic Multiobjective Optimization for Integrated Coal Mine Energy Systems With Streaming Constraints.
IEEE Trans. Ind. Informatics
Chi Zhang, Miao Rong, Shengxiang Yang, Quanke Pan, Chen Peng
2026 J jnl
Dynamic multi-objective optimization algorithm via historical collaborative strategy and interval prediction strategy.
Swarm Evol. Comput.
Junwei Ou, Yana Li, Yaru Hu, Jiankang Peng, Jinhua Zheng, Juan Zou, Shengxiang Yang
2026 J jnl
Dynamic multiobjective evolutionary algorithm based on a knee point driven Gaussian model.
Expert Syst. Appl.
Guoyu Chen, Yinan Guo, Xiao Yang, Tianbing Ma, Shengxiang Yang, Liang Yuan
2026 J jnl
Ensemble of Similar Differential Evolution Algorithms With Algorithm Replacement at Position Without Individual Replacement.
IEEE Trans. Emerg. Top. Comput. Intell.
Chuchuan Cen, Chengjun Li, Junbin Gao, Mingyuan Bai, Shengxiang Yang
2026 J jnl
Generating continuous multi-objective benchmark problems by the object-oriented method.
Swarm Evol. Comput.
Qingshan Tan, Changhe Li, Miqing Li, Shengxiang Yang
2026 J jnl
Multiobjective Optimization for Multi-UAV-Assisted MEC Systems.
IEEE Internet Things J.
Yang Chen, Bi Wang, Huiping Yin, Shengxiang Yang
2026 J jnl
Multipattern Learning and Collaboration-Based Evolutionary Optimizer for Large-Scale Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Wei Song, Mingshuo Song, Haojie Zhou, Xiaoyan Sun, Yaochu Jin, Songbai Liu, Qiuzhen Lin, Shengxiang Yang
2026 J jnl
Online spatial-temporal prediction for dynamic constrained multiobjective evolutionary optimization.
Expert Syst. Appl.
Guoyu Chen, Yinan Guo, Xiao Yang, Shunyao Zhang, Tianbing Ma, Shengxiang Yang, Liang Yuan
2026 J jnl
Overcoming scalability challenges in multi-objective flexible jobshop scheduling algorithms by automatic configuration.
Appl. Soft Comput.
Xuwei Zhang, Shixin Liu, Ziyan Zhao, Jianhai Song, Shengxiang Yang
2026 J jnl
Region-aware prediction strategy based on shared points and multiple scales for dynamic multi-objective optimization.
Expert Syst. Appl.
Yaru Hu, Sitong Wang, Junwei Ou, Zhenlin Mei, Juan Zou, Shengxiang Yang
2026 J jnl
Scenario-to-objective transformation for robust cascaded flow-shop joint scheduling: a many-objective optimization framework.
Expert Syst. Appl.
Qiu-Ying Li, Quanke Pan, Liang Gao, Wei-Min Li, Shengxiang Yang
2026 J jnl
Scheduling a Constrained Hybrid Flowshop Using a Variable Representation Cooperative Co-Evolutionary Algorithm.
Expert Syst. Appl.
Bing-Tao Wang, Quan-Ke Pan, Shengxiang Yang, Xue-Lei Jing, Weimin Li
2026 J jnl
Variable Search Stepsize for Randomized Local Search in Multi-Objective Combinatorial Optimization.
CoRR
Xuepeng Ren, Maocai Wang, Guangming Dai, Zimin Liang, Qianrong Liu, Shengxiang Yang, Miqing Li
2025 J jnl
A Coevolutionary Algorithm With Detection and Supervision Strategies for Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Shaoning Liu, Jian Feng, Shengxiang Yang, Jun Zheng, Qi Xiao
2025 J jnl
A Dynamic Optimization Framework for Computation Rate Maximization in UAV-Assisted Mobile Edge Computing.
IEEE Trans. Veh. Technol.
Yang Chen, Dechang Pi, Shengxiang Yang, Yue Xu, Bi Wang, Shuo Qin, Yintong Wang
2025 J jnl
A Learning-Assisted Bi-Population Evolutionary Algorithm for Distributed Flexible Job-Shop Scheduling With Maintenance Decisions.
IEEE Trans. Evol. Comput.
Qi Yan, Hongfeng Wang, Shengxiang Yang
2025 J jnl
A Prediction and Weak Coevolution-Based Dynamic Constrained Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Dunwei Gong, Miao Rong, Na Hu, Yan Wang, Witold Pedrycz, Shengxiang Yang
2025 J jnl
A constrained multimodal multi-objective evolutionary algorithm based on adaptive epsilon method and two-level environmental selection.
Swarm Evol. Comput.
Fengxia Wang, Min Huang, Shengxiang Yang, Xingwei Wang
2025 J jnl
A cooperative Q-learning-based memetic algorithm for distributed assembly heterogeneous flexible flowshop scheduling.
Expert Syst. Appl.
Jiawen Deng, Jihui Zhang, Shengxiang Yang
2025 J jnl
A decomposition framework with dual populations and dual stages for constrained multi-objective optimization.
Swarm Evol. Comput.
Zhanglu Hou, Jialu Ye, Yizhang Xia, Yibin Gong, Juan Zou, Shengxiang Yang
2025 J jnl
A knowledge transfer-based strategy for constrained multiobjective optimization.
Swarm Evol. Comput.
Shaoning Liu, Jian Feng, Shengxiang Yang, Jun Zheng, Yu Yao
2025 J jnl
A niching-based nondominated sorting for multimodal multiobjective optimization with local pareto fronts.
Appl. Soft Comput.
Qi Deng, Juan Zou, Shengxiang Yang, Yuan Liu, Fan Yu, Tianbin Xie, Jinhua Zheng
2025 J jnl
A novel multi-level hierarchy optimization algorithm for pipeline inner detector speed control.
Neurocomputing
Jinze Liu, Jian Feng, Huaguang Zhang, Shengxiang Yang
2025 J jnl
A population game-based knowledge transfer strategy for constrained multi-objective optimization.
Swarm Evol. Comput.
Shaoning Liu, Jian Feng, Shengxiang Yang, Jun Zheng
2025 J jnl
A prediction approach based on long short-term memory networks for dynamic multiobjective optimization.
Expert Syst. Appl.
Biao Xu, Gejie Rang, Ruijie Xie, Wenji Li, Dunwei Gong, Zhun Fan, Shengxiang Yang, Jie He
2025 J jnl
A repulsive-distance-based maximum diversity selection algorithm for multimodal multiobjective optimization.
Appl. Soft Comput.
Qi Deng, Yuan Liu, Shengxiang Yang, Juan Zou, Xijun Li, Yizhang Xia, Jinhua Zheng
2025 J jnl
A sparse large-scale multi-objective evolutionary optimization based on bi-level interactive grouping.
Swarm Evol. Comput.
Yingjie Zou, Juan Zou, Shiting Wang, Yuan Liu, Shengxiang Yang
2025 J jnl
A strategy cooperative algorithm based on state-awareness for large-scale multi-objective optimization.
Swarm Evol. Comput.
Hao Liu, Jinhua Zheng, Yaru Hu, Xiaozhong Yu, Junwei Ou, Juan Zou, Shengxiang Yang
2025 J jnl
A variable window multi-interval rescheduling optimization algorithm for dynamic flexible job shop problem.
Appl. Soft Comput.
Zeyin Guo, Lixin Wei, Xin Li, Shengxiang Yang, Jinlu Zhang
2025 J jnl
Adaptive stochastic configuration network based on online active learning for evolving data streams.
Inf. Sci.
Yinan Guo, Jiayang Pu, Jiale He, Botao Jiao, Jianjiao Ji, Shengxiang Yang
2025 J jnl
An improved adaptive large neighborhood search for the home health care routing and scheduling problem with multiple mixed time windows.
Inf. Sci.
Wei Zhang, Wen Ma, Shengxiang Yang, Shengzong Chen, Jihui Zhang
2025 J jnl
Bridging the Gap Between Theory and Practice: Fitness Landscape Analysis of Real-World Problems with Nearest-Better Network.
Inf.
Yiya Diao, Changhe Li, Junchen Wang, Sanyou Zeng, Shengxiang Yang
2025 J jnl
Competitive many-task differential evolution with reinforcement learning and meta-knowledge transfer.
Knowl. Based Syst.
Yuxuan Song, Yue Xu, Dechang Pi, Shengxiang Yang
2025 J jnl
Dynamic multiobjective optimization via an improved r-dominance relation and a novel prediction approach.
Expert Syst. Appl.
Yaru Hu, Junwei Ou, Huibing Wang, Juan Zou, Jinhua Zheng, Shengxiang Yang
2025 B conf
Feasible Regions Identification based on Historical Solutions for Constrained Optimization Problems.
CEC
Mengli Shan, Changhe Li, Mai Peng, Xiaobo Liu, Michalis Mavrovouniotis, Shengxiang Yang
2025 J jnl
Guest Editorial Evolutionary Dynamic Optimization.
IEEE Trans. Evol. Comput.
Danial Yazdani, Wenjian Luo, Shengxiang Yang
2025 B conf
Improved Genetic Algorithm Using Reinforcement Learning to Solve the Re-entrant Flexible Flow Shop Scheduling Problem.
CEC
Xinzhuo Wang, Chang Liu, Rui Wang, Zhenghao Yu, Shengxiang Yang
2025 J jnl
Integrating Large Language Models into Medication Management in Remote Healthcare: Current Applications, Challenges, and Future Prospects.
Syst.
Ho-Yan Kwan, Jethro Shell, Conor Fahy, Shengxiang Yang, Yongkang Xing
2025 J jnl
Knowledge Transfer With Mixture Model in Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Juan Zou, Zhanglu Hou, Shouyong Jiang, Shengxiang Yang, Gan Ruan, Yizhang Xia, Yuan Liu
2025 J jnl
Multi-agent cooperation-based bi-criteria evolutionary many-objective optimization.
Appl. Soft Comput.
Jiazheng Li, Yuan Liu, Juan Zou, Shuyi Liu, Shengxiang Yang, Jinhua Zheng
2025 J jnl
Multi-strategy improved African Vulture Optimization Algorithm for global optimization and engineering design problems.
Intell. Data Anal.
Xinzhe Li, Qingyang Zhang, Shengxiang Yang, Yongquan Dong
2025 J jnl
Nearest-Better Network for Fitness Landscape Analysis of Continuous Optimization Problems.
IEEE Trans. Evol. Comput.
Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang, Carlos A. Coello Coello
2025 J jnl
Nearest-Better Network for Visualizing and Analyzing Combinatorial Optimization Problems: A Unified Tool.
CoRR
Yiya Diao, Changhe Li, Sanyou Zeng, Xinye Cai, Wenjian Luo, Shengxiang Yang, Carlos A. Coello Coello
2025 J jnl
Online Sparse Representation Clustering for Evolving Data Streams.
IEEE Trans. Neural Networks Learn. Syst.
Jie Chen, Shengxiang Yang, Conor Fahy, Zhu Wang, Yinan Guo, Yingke Chen
2025 J jnl
Q-learning assisted multi-objective evolutionary optimization for low-carbon scheduling of open-pit mine trucks.
Swarm Evol. Comput.
Yao Huang, Yi-Nan Guo, Guoyu Chen, Hong Wei, Xiaoxiao Zhao, Shengxiang Yang, Shirong Ge
2025 J jnl
Self-learning brainstorm optimization for synchronization of operations and maintenance toward dual resource-constrained flexible job shops.
Appl. Soft Comput.
Qi Yan, Hongfeng Wang, Shengxiang Yang, Yaping Fu
2025 J jnl
Solving dynamic multi-objective engineering design problems via fuzzy c-means prediction algorithm.
Swarm Evol. Comput.
Qingyang Zhang, Xueliang Fu, Shengxiang Yang, Shouyong Jiang, Miqing Li, Zedong Zheng
2024 — conf
3D Object Reconstruction with Deep Learning.
IIP (2)
Stephen S. Aremu, Aboozar Taherkhani, Chang Liu, Shengxiang Yang
2024 — conf
A Dynamic Preference-driven Evolutionary Algorithm for Solving Dynamic Multi-objective Problems.
GECCO Companion
Xueqing Wang, Jinhua Zheng, Juan Zou, Zhanglu Hou, Shengxiang Yang, Yuan Liu
2024 J jnl
A Dynamic-Niching-Based Pareto Domination for Multimodal Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Juan Zou, Qi Deng, Yuan Liu, Xinjie Yang, Shengxiang Yang, Jinhua Zheng
2024 J jnl
A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes.
IEEE Trans. Evol. Comput.
Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou, Rui Wang
2024 — conf
A Multi-Action Deep Reinforcement Learning Based on BiLSTM for Flexible Job Shop Scheduling Problem with Tight Time.
CSAI
Rui Wang, Chang Liu, Xinzhuo Wang, Shengxiang Yang, Yaqi Hou
2024 J jnl
A Multipopulation Evolutionary Algorithm Using New Cooperative Mechanism for Solving Multiobjective Problems With Multiconstraint.
IEEE Trans. Evol. Comput.
Juan Zou, Ruiqing Sun, Yuan Liu, Yaru Hu, Shengxiang Yang, Jinhua Zheng, Ke Li
2024 J jnl
A Subspace-Knowledge Transfer Based Dynamic Constrained Multiobjective Evolutionary Algorithm.
IEEE Trans. Emerg. Top. Comput. Intell.
Guoyu Chen, Yinan Guo, Min Jiang, Shengxiang Yang, Xiaoxiao Zhao, Dunwei Gong
2024 J jnl
A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response.
Expert Syst. Appl.
Xinfu Pang, Yibao Wang, Shengxiang Yang, Wei Liu, Yang Yu
2024 J jnl
A cluster prediction strategy with the induced mutation for dynamic multi-objective optimization.
Inf. Sci.
Kangyu Xu, Yizhang Xia, Juan Zou, Zhanglu Hou, Shengxiang Yang, Yaru Hu, Yuan Liu
2024 J jnl
A dual-population coevolutionary algorithm for balancing convergence and diversity in the decision space in multimodal multi-objective optimization.
Appl. Soft Comput.
Zhipan Li, Huigui Rong, Shengxiang Yang, Xu Yang, Yupeng Huang
2024 J jnl
A multi-strategy optimizer for energy minimization of multi-UAV-assisted mobile edge computing.
Swarm Evol. Comput.
Yang Chen, Dechang Pi, Shengxiang Yang, Yue Xu, Bi Wang, Yintong Wang
2024 J jnl
A new framework of change response for dynamic multi-objective optimization.
Expert Syst. Appl.
Yaru Hu, Juan Zou, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang
2024 J jnl
A novel preference-driven evolutionary algorithm for dynamic multi-objective problems.
Swarm Evol. Comput.
Xueqing Wang, Jinhua Zheng, Zhanglu Hou, Yuan Liu, Juan Zou, Yizhang Xia, Shengxiang Yang
2024 J jnl
A population hierarchical-based evolutionary algorithm for large-scale many-objective optimization.
Swarm Evol. Comput.
Shiting Wang, Jinhua Zheng, Yingjie Zou, Yuan Liu, Juan Zou, Shengxiang Yang
2024 J jnl
A similarity-detection-based evolutionary algorithm for large-scale multimodal multi-objective optimization.
Swarm Evol. Comput.
Si Long, Jinhua Zheng, Qi Deng, Yuan Liu, Juan Zou, Shengxiang Yang
2024 J jnl
A two-stage direction-guided evolutionary algorithm for large-scale multiobjective optimization.
Inf. Sci.
Juan Zou, Li Tang, Yuan Liu, Shengxiang Yang, Shiting Wang
2024 J jnl
Active broad learning with multi-objective evolution for data stream classification.
Complex Intell. Syst.
Jian Cheng, Zhiji Zheng, Yinan Guo, Jiayang Pu, Shengxiang Yang
2024 J jnl
An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition.
CoRR
Yizhang Xia, Shihao Song, Zhanglu Hou, Junwen Xu, Juan Zou, Yuan Liu, Shengxiang Yang
2024 J jnl
Augmented Sparse Representation for Incomplete Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Jie Chen, Shengxiang Yang, Xi Peng, Dezhong Peng, Zhu Wang
2024 J jnl
Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization.
CoRR
Wenjian Luo, Peilan Xu, Shengxiang Yang, Yuhui Shi
2024 J jnl
Continuous variation operator configuration for decomposition-based evolutionary multi-objective optimization.
Swarm Evol. Comput.
Yuan Liu, Jiazheng Li, Juan Zou, Zhanglu Hou, Shengxiang Yang, Jinhua Zheng
2024 — conf
Differential Evolution based on Local Grid Search for Multimodal Multiobjective Optimization with Local Pareto Fronts.
GECCO Companion
Juan Zou, Tianbin Xie, Qi Deng, Xiaozhong Yu, Shengxiang Yang, Jinhua Zheng
2024 J jnl
Dynamic constrained multi-objective optimization algorithm based on co-evolution and diversity enhancement.
Swarm Evol. Comput.
Wang Che, Jinhua Zheng, Yaru Hu, Juan Zou, Shengxiang Yang
2024 J jnl
Dynamic niching particle swarm optimization with an external archive-guided mechanism for multimodal multi-objective optimization.
Inf. Sci.
Yu Sun, Yuqing Chang, Shengxiang Yang, Fuli Wang
2024 J jnl
Dynamic ε-multilevel hierarchy constraint optimization with adaptive boundary constraint handling technology.
Appl. Soft Comput.
Jinze Liu, Jian Feng, Shengxiang Yang, Huaguang Zhang, Shaoning Liu
2024 J jnl
Evolutionary Dynamic Constrained Multiobjective Optimization: Test Suite and Algorithm.
IEEE Trans. Evol. Comput.
Guoyu Chen, Yinan Guo, Yong Wang, Jing J. Liang, Dunwei Gong, Shengxiang Yang
2024 J jnl
Evolutionary Multi/Many-Objective Optimisation via Bilevel Decomposition.
IEEE CAA J. Autom. Sinica
Shouyong Jiang, Jinglei Guo, Yong Wang, Shengxiang Yang
2024 — conf
Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures.
IIP (2)
Valentine Oleka, Seyyed Mohsen Zahedi, Aboozar Taherkhani, Reza Baserinia, S. Abolfazl Zahedi, Shengxiang Yang
2024 — conf
Hand Gesture Recognition Using a Multi-modal Deep Neural Network.
IIP (2)
Saneet Fulsunder, Saidu Umar, Aboozar Taherkhani, Chang Liu, Shengxiang Yang
2024 — ed.
Intelligent Information Processing XII - 13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3-6, 2024, Proceedings, Part I
IIP (1)
Zhongzhi Shi, Jim Tørresen, Shengxiang Yang
2024 — ed.
Intelligent Information Processing XII - 13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3-6, 2024, Proceedings, Part II
IIP (2)
Zhongzhi Shi, Jim Tørresen, Shengxiang Yang
2024 — book
Intelligent Optimization - Principles, Algorithms and Applications
Changhe Li, Shoufei Han, Sanyou Zeng, Shengxiang Yang
2024 J jnl
Knowledge Transfer-Based Multifactorial Evolutionary Algorithm for Selective Maintenance Optimization of Multistate Complex Systems.
IEEE Trans. Reliab.
Yue Xu, Dechang Pi, Shengxiang Yang, Enrico Zio
2024 J jnl
Learning to Guide Particle Search for Dynamic Multiobjective Optimization.
IEEE Trans. Cybern.
Wei Song, Shaocong Liu, Xinjie Wang, Yinan Guo, Shengxiang Yang, Yaochu Jin
2024 J jnl
Learning to search promising regions by space partitioning for evolutionary methods.
Swarm Evol. Comput.
Hai Xia, Changhe Li, Qingshan Tan, Sanyou Zeng, Shengxiang Yang
2024 J jnl
Multipopulation Evolution-Based Dynamic Constrained Multiobjective Optimization Under Diverse Changing Environments.
IEEE Trans. Evol. Comput.
Qingda Chen, Jinliang Ding, Gary G. Yen, Shengxiang Yang, Tianyou Chai
2024 J jnl
Nearest-Better Network-Assisted Fitness Landscape Analysis of Contaminant Source Identification in Water Distribution Network.
Data
Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang
2024 J jnl
Online semi-supervised active learning ensemble classification for evolving imbalanced data streams.
Appl. Soft Comput.
Yinan Guo, Jiayang Pu, Botao Jiao, Yanyan Peng, Dini Wang, Shengxiang Yang
2024 J jnl
Optimizing electric vehicle routing with nonlinear charging and time windows using improved differential evolution algorithm.
Clust. Comput.
Jiawen Deng, Jihui Zhang, Shengxiang Yang
2024 J jnl
Particle Search Control Network for Dynamic Optimization.
IEEE Trans. Syst. Man Cybern. Syst.
Wei Song, Zhi Liu, Shaocong Liu, Xiaofeng Ding, Yinan Guo, Shengxiang Yang
2024 J jnl
Robust online active learning with cluster-based local drift detection for unbalanced imperfect data.
Appl. Soft Comput.
Yinan Guo, Zhiji Zheng, Jiayang Pu, Botao Jiao, Dunwei Gong, Shengxiang Yang
2024 J jnl
Tailoring Evolutionary Algorithms to Solve the Multiobjective Location-Routing Problem for Biomass Waste Collection.
IEEE Trans. Evol. Comput.
Yuanrui Li, Qiuhong Zhao, Shengxiang Yang, Yinan Guo
2024 J jnl
The IGD-based prediction strategy for dynamic multi-objective optimization.
Swarm Evol. Comput.
Yaru Hu, Jiankang Peng, Junwei Ou, Yana Li, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang, Jun Li
2024 J jnl
Weak relationship indicator-based evolutionary algorithm for multimodal multi-objective optimization.
Inf. Sci.
Yi Xiang, Jinhua Zheng, Yaru Hu, Yuan Liu, Juan Zou, Qi Deng, Shengxiang Yang
2023 J jnl
A Fuzzy Decision Variables Framework for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Xu Yang, Juan Zou, Shengxiang Yang, Jinhua Zheng, Yuan Liu
2023 J jnl
A Multistage Algorithm for Solving Multiobjective Optimization Problems With Multiconstraints.
IEEE Trans. Evol. Comput.
Ruiqing Sun, Juan Zou, Yuan Liu, Shengxiang Yang, Jinhua Zheng
2023 B conf
A Subspace-Based Non-Dominated Subset Selection Method.
CEC
Qingshan Tan, Changhe Li, Sanyou Zeng, Shengxiang Yang
2023 B conf
A Test Suite and An Optimizer for Dietary Nutrition Optimization Problem: From Constrained Many-Objective Perspective.
CEC
Yaqi Ti, Changhe Li, Shengxiang Yang
2023 J jnl
A dual-population evolutionary algorithm based on adaptive constraint strength for constrained multi-objective optimization.
Swarm Evol. Comput.
Kaixi Yang, Jinhua Zheng, Juan Zou, Fan Yu, Shengxiang Yang
2023 J jnl
A dynamic multi-objective evolutionary algorithm based on Niche prediction strategy.
Appl. Soft Comput.
Jinhua Zheng, Bo Zhang, Juan Zou, Shengxiang Yang, Yaru Hu
2023 J jnl
A dynamic multi-objective evolutionary algorithm using adaptive reference vector and linear prediction.
Swarm Evol. Comput.
Jinhua Zheng, Qishuang Wu, Juan Zou, Shengxiang Yang, Yaru Hu
2023 J jnl
A dynamic multi-objective optimization based on a hybrid of pivot points prediction and diversity strategies.
Swarm Evol. Comput.
Jinhua Zheng, Fei Zhou, Juan Zou, Shengxiang Yang, Yaru Hu
2023 J jnl
A flexible two-stage constrained multi-objective evolutionary algorithm based on automatic regulation.
Inf. Sci.
Juan Zou, Jian Luo, Yuan Liu, Shengxiang Yang, Jinhua Zheng
2023 J jnl
A hybrid algorithm based on state-adaptive slime mold model and fractional-order ant system for the travelling salesman problem.
Complex Intell. Syst.
Xiaoling Gong, Ziheng Rong, Jian Wang, Kai Zhang, Shengxiang Yang
2023 J jnl
A particle swarm algorithm based on the dual search strategy for dynamic multi-objective optimization.
Swarm Evol. Comput.
Jintong Yang, Juan Zou, Shengxiang Yang, Yaru Hu, Jinhua Zheng, Yuan Liu
2023 J jnl
A reinforcement learning-based multi-objective optimization in an interval and dynamic environment.
Knowl. Based Syst.
Yue Xu, Yuxuan Song, Dechang Pi, Yang Chen, Shuo Qin, Xiaoge Zhang, Shengxiang Yang
2023 J jnl
A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts.
Inf. Sci.
Xin Li, Xiaoli Li, Kang Wang, Shengxiang Yang
2023 J jnl
A weight vector generation method based on normal distribution for preference-based multi-objective optimization.
Swarm Evol. Comput.
Jinhua Zheng, Zhenfang Du, Juan Zou, Shengxiang Yang
2023 J jnl
An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty.
IEEE Trans Autom. Sci. Eng.
Yue Xu, Dechang Pi, Shengxiang Yang, Yang Chen, Shuo Qin, Enrico Zio
2023 — conf
An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency.
SSCI
Conor Fahy, Shengxiang Yang
2023 J jnl
An Evolving Population Approach to Data-Stream Classification with Extreme Verification Latency.
CoRR
Conor Fahy, Shengxiang Yang
2023 J jnl
An adaptive tradeoff evolutionary algorithm with composite differential evolution for constrained multi-objective optimization.
Swarm Evol. Comput.
Jian Feng, Shaoning Liu, Shengxiang Yang, Jun Zheng, Jinze Liu
2023 J jnl
An environment-driven hybrid evolutionary algorithm for dynamic multi-objective optimization problems.
Complex Intell. Syst.
Meirong Chen, Yinan Guo, Yaochu Jin, Shengxiang Yang, Dunwei Gong, Zekuan Yu
2023 J jnl
An evolutionary algorithm based on dynamic sparse grouping for sparse large scale multiobjective optimization.
Inf. Sci.
Yingjie Zou, Yuan Liu, Juan Zou, Shengxiang Yang, Jinhua Zheng
2023 J jnl
An evolutionary algorithm based on independently evolving sub-problems for multimodal multi-objective optimization.
Inf. Sci.
Jialiang Zhang, Juan Zou, Shengxiang Yang, Jinhua Zheng
2023 J jnl
Biological survival optimization algorithm with its engineering and neural network applications.
Soft Comput.
Likai Wang, Qingyang Zhang, Xiangyu He, Shengxiang Yang, Shouyong Jiang, Yongquan Dong
2023 J jnl
Classification in Dynamic Data Streams With a Scarcity of Labels.
IEEE Trans. Knowl. Data Eng.
Conor Fahy, Shengxiang Yang, Mario Gongora
2023 J jnl
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.
IEEE Trans. Artif. Intell.
Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio
2023 — conf
Decomposed Multi-objective Method Based on Q-Learning for Solving Multi-objective Combinatorial Optimization Problem.
BIC-TA (1)
Anju Yang, Yuan Liu, Juan Zou, Shengxiang Yang
2023 J jnl
Efficient Sparse Representation for Learning With High-Dimensional Data.
IEEE Trans. Neural Networks Learn. Syst.
Jie Chen, Shengxiang Yang, Zhu Wang, Hua Mao
2023 J jnl
Evolutionary Dynamic Multi-objective Optimisation: A Survey.
ACM Comput. Surv.
Shouyong Jiang, Juan Zou, Shengxiang Yang, Xin Yao
2023 J jnl
Global and local feasible solution search for solving constrained multi-objective optimization.
Inf. Sci.
Weixiong Huang, Juan Zou, Yuan Liu, Shengxiang Yang, Jinhua Zheng
2023 J jnl
Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance.
IEEE Trans. Cybern.
Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou
2023 J jnl
History-Guided Hill Exploration for Evolutionary Computation.
IEEE Trans. Evol. Comput.
Junchen Wang, Changhe Li, Sanyou Zeng, Shengxiang Yang
2023 J jnl
Low-Carbon Routing Based on Improved Artificial Bee Colony Algorithm for Electric Trackless Rubber-Tyred Vehicles.
Complex Syst. Model. Simul.
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2023 J jnl
Manifold clustering-based prediction for dynamic multiobjective optimization.
Swarm Evol. Comput.
Li Yan, Wenlong Qi, A. K. Qin, Shengxiang Yang, Dunwei Gong, Boyang Qu, Jing Liang
2023 J jnl
Meta-heuristic Techniques in Microgrid Management: A Survey.
Swarm Evol. Comput.
Zedong Zheng, Shengxiang Yang, Yinan Guo, Xiaolong Jin, Rui Wang
2023 — conf
Nearest better network for visualization of the fitness landscape.
GECCO Companion
Yiya Diao, Changhe Li, Sanyou Zeng, Shengxiang Yang
2023 J jnl
Penalty and prediction methods for dynamic constrained multi-objective optimization.
Swarm Evol. Comput.
Fengxia Wang, Min Huang, Shengxiang Yang, Xingwei Wang
2023 J jnl
Reduced-Space Multistream Classification Based on Multiobjective Evolutionary Optimization.
IEEE Trans. Evol. Comput.
Botao Jiao, Yinan Guo, Shengxiang Yang, Jiayang Pu, Dunwei Gong
2023 J jnl
Scarcity of Labels in Non-Stationary Data Streams: A Survey.
ACM Comput. Surv.
Conor Fahy, Shengxiang Yang, Mario Gongora
2023 J jnl
Two-Stage Sparse Representation Clustering for Dynamic Data Streams.
IEEE Trans. Cybern.
Jie Chen, Zhu Wang, Shengxiang Yang, Hua Mao
2023 J jnl
Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation.
CoRR
Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang
2022 J jnl
A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification.
IEEE Trans. Cybern.
Zhengping Liang, Tiancheng Wu, Xiaoliang Ma, Zexuan Zhu, Shengxiang Yang
2022 J jnl
A New Crossover Mechanism for Genetic Algorithms for Steiner Tree Optimization.
IEEE Trans. Cybern.
Qiongbing Zhang, Shengxiang Yang, Min Liu, Jianxun Liu, Lei Jiang
2022 J jnl
A benchmark generator for online dynamic single-objective and multi-objective optimization problems.
Inf. Sci.
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2022 J jnl
A constrained multi-objective evolutionary strategy based on population state detection.
Swarm Evol. Comput.
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2022 J jnl
A dual evolutionary bagging for class imbalance learning.
Expert Syst. Appl.
Yinan Guo, Jiawei Feng, Botao Jiao, Ning Cui, Shengxiang Yang, Zekuan Yu
2022 J jnl
A dynamic multi-objective particle swarm optimization algorithm based on adversarial decomposition and neighborhood evolution.
Swarm Evol. Comput.
Jinhua Zheng, Zeyu Zhang, Juan Zou, Shengxiang Yang, Junwei Ou, Yaru Hu
2022 J jnl
A level-based multi-strategy learning swarm optimizer for large-Scale multi-objective optimization.
Swarm Evol. Comput.
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2022 J jnl
A multiobjective evolutionary algorithm based on decision variable classification for many-objective optimization.
Swarm Evol. Comput.
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2022 J jnl
A multiobjective state transition algorithm based on modified decomposition method.
Appl. Soft Comput.
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2022 J jnl
A new moving peaks benchmark with attractors for dynamic evolutionary algorithms.
Swarm Evol. Comput.
Matthew Fox, Shengxiang Yang, Fabio Caraffini
2022 J jnl
A novel two-phase evolutionary algorithm for solving constrained multi-objective optimization problems.
Swarm Evol. Comput.
Yanping Wang, Yuan Liu, Juan Zou, Jinhua Zheng, Shengxiang Yang
2022 J jnl
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.
Medical Biol. Eng. Comput.
Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Armaghan Moemeni, Miguel A. Molina-Cabello
2022 J jnl
A reconstruction method for cross-cut shredded documents based on the extreme learning machine algorithm.
Soft Comput.
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2022 J jnl
A self-exploratory competitive swarm optimization algorithm for large-scale multiobjective optimization.
Inf. Sci.
Sheng Qi, Juan Zou, Shengxiang Yang, Yaochu Jin, Jinhua Zheng, Xu Yang
2022 J jnl
An Adaptive Localized Decision Variable Analysis Approach to Large-Scale Multiobjective and Many-Objective Optimization.
IEEE Trans. Cybern.
Lianbo Ma, Min Huang, Shengxiang Yang, Rui Wang, Xingwei Wang
2022 J jnl
Benchmark Functions for CEC 2022 Competition on Seeking Multiple Optima in Dynamic Environments.
CoRR
Wenjian Luo, Xin Lin, Changhe Li, Shengxiang Yang, Yuhui Shi
2022 B conf
Combining State Detection with Knowledge Transfer for Constrained Multi-objective Optimization.
ICTAI
Jinhua Zheng, Kaixi Yang, Juan Zou, Shengxiang Yang
2022 J jnl
Combining a hybrid prediction strategy and a mutation strategy for dynamic multiobjective optimization.
Swarm Evol. Comput.
Ying Chen, Juan Zou, Yuan Liu, Shengxiang Yang, Jinhua Zheng, Weixiong Huang
2022 J jnl
Cooperative co-evolutionary algorithm for multi-objective optimization problems with changing decision variables.
Inf. Sci.
Biao Xu, Dunwei Gong, Yong Zhang, Shengxiang Yang, Ling Wang, Zhun Fan, Yonggang Zhang
2022 J jnl
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities.
Appl. Soft Comput.
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni
2022 J jnl
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge.
IEEE Trans. Evol. Comput.
Yingbo Xie, Shengxiang Yang, Ding Wang, Junfei Qiao, Baocai Yin
2022 J jnl
Evolutionary Multiobjective Clustering Algorithms With Ensemble for Patient Stratification.
IEEE Trans. Cybern.
Yunhe Wang, Xiangtao Li, Ka-Chun Wong, Yi Chang, Shengxiang Yang
2022 J jnl
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams.
IEEE Trans. Big Data
Conor Fahy, Shengxiang Yang
2022 J jnl
HNIO: A Hybrid Nature-Inspired Optimization Algorithm for Energy Minimization in UAV-Assisted Mobile Edge Computing.
IEEE Trans. Netw. Serv. Manag.
Yang Chen, Dechang Pi, Shengxiang Yang, Yue Xu, Junfu Chen, Ali Wagdy Mohamed
2022 J jnl
Learning to Optimize: Reference Vector Reinforcement Learning Adaption to Constrained Many-Objective Optimization of Industrial Copper Burdening System.
IEEE Trans. Cybern.
Lianbo Ma, Nan Li, Yinan Guo, Xingwei Wang, Shengxiang Yang, Min Huang, Hao Zhang
2022 B conf
Learning to Search Promising Regions by a Monte-Carlo Tree Model.
CEC
Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang
2022 J jnl
Multi-view representation learning for data stream clustering.
Inf. Sci.
Jie Chen, Shengxiang Yang, Zhu Wang
2022 J jnl
Multiobjective Deep Clustering and its Applications in Single-cell RNA-seq Data.
IEEE Trans. Syst. Man Cybern. Syst.
Yunhe Wang, Chuang Bian, Ka-Chun Wong, Xiangtao Li, Shengxiang Yang
2022 J jnl
Multiview Subspace Clustering Using Low-Rank Representation.
IEEE Trans. Cybern.
Jie Chen, Shengxiang Yang, Hua Mao, Conor Fahy
2022 J jnl
PopDMMO: A general framework of population-based stochastic search algorithms for dynamic multimodal optimization.
Swarm Evol. Comput.
Xin Lin, Wenjian Luo, Peilan Xu, Yingying Qiao, Shengxiang Yang
2022 J jnl
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey.
CoRR
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo
2022 J jnl
Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey.
IEEE Trans. Artif. Intell.
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo
2022 J jnl
Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm.
Inf. Sci.
Qingyang Zhang, Xiangyu He, Shengxiang Yang, Yongquan Dong, Hui Song, Shouyong Jiang
2021 B conf
A Novel Scalable Framework For Constructing Dynamic Multi-objective Optimization Problems.
CEC
Qingshan Tan, Changhe Li, Hai Xia, Sanyou Zeng, Shengxiang Yang
2021 J jnl
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica.
CoRR
Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Miguel A. Molina-Cabello
2021 B conf
A Reinforcement-Learning-Based Evolutionary Algorithm Using Solution Space Clustering For Multimodal Optimization Problems.
CEC
Hai Xia, Changhe Li, Sanyou Zeng, Qingshan Tan, Junchen Wang, Shengxiang Yang
2021 J jnl
A decision variable classification-based cooperative coevolutionary algorithm for dynamic multiobjective optimization.
Inf. Sci.
Huipeng Xie, Juan Zou, Shengxiang Yang, Jinhua Zheng, Junwei Ou, Yaru Hu
2021 J jnl
A dual-population algorithm based on alternative evolution and degeneration for solving constrained multi-objective optimization problems.
Inf. Sci.
Juan Zou, Ruiqing Sun, Shengxiang Yang, Jinhua Zheng
2021 J jnl
A feedback-based prediction strategy for dynamic multi-objective evolutionary optimization.
Expert Syst. Appl.
Zhengping Liang, Ya Zou, Shunxiang Zheng, Shengxiang Yang, Zexuan Zhu
2021 J jnl
A many-objective algorithm based on staged coordination selection.
Swarm Evol. Comput.
Juan Zou, Jing Liu, Jinhua Zheng, Shengxiang Yang
2021 J jnl
A many-objective evolutionary algorithm based on dominance and decomposition with reference point adaptation.
Knowl. Based Syst.
Juan Zou, Zhenghui Zhang, Jinhua Zheng, Shengxiang Yang
2021 J jnl
A many-objective evolutionary algorithm based on rotation and decomposition.
Swarm Evol. Comput.
Juan Zou, Jing Liu, Shengxiang Yang, Jinhua Zheng
2021 J jnl
A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization.
Swarm Evol. Comput.
Sanyi Li, Shengxiang Yang, Yanfeng Wang, Weichao Yue, Junfei Qiao
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A novel discrete bat algorithm for heterogeneous redundancy allocation of multi-state systems subject to probabilistic common-cause failure.
Reliab. Eng. Syst. Saf.
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A novel oversampling technique based on the manifold distance for class imbalance learning.
Int. J. Bio Inspired Comput.
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2021 J jnl
A prediction strategy based on decision variable analysis for dynamic Multi-objective Optimization.
Swarm Evol. Comput.
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2021 J jnl
A random benchmark suite and a new reaction strategy in dynamic multiobjective optimization.
Swarm Evol. Comput.
Gan Ruan, Jinhua Zheng, Juan Zou, Zhongwei Ma, Shengxiang Yang
2021 J jnl
A two-archive algorithm with decomposition and fitness allocation for multi-modal multi-objective optimization.
Inf. Sci.
Zhipan Li, Juan Zou, Shengxiang Yang, Jinhua Zheng
2021 J jnl
Achievement scalarizing function sorting for strength Pareto evolutionary algorithm in many-objective optimization.
Neural Comput. Appl.
Xin Li, Xiaoli Li, Kang Wang, Shengxiang Yang, Yang Li
2021 — conf
An Adaptive Evolutionary Algorithm for Bi- Level Multi-objective VRPs with Real-Time Traffic Conditions.
SSCI
Baojian Chen, Changhe Li, Sanyou Zeng, Shengxiang Yang, Michalis Mavrovouniotis
2021 J jnl
An infeasible solutions diversity maintenance epsilon constraint handling method for evolutionary constrained multiobjective optimization.
Soft Comput.
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2021 J jnl
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images.
Appl. Soft Comput.
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2021 J jnl
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities.
CoRR
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni
2021 J jnl
Dynamic multi-objective optimization algorithm based decomposition and preference.
Inf. Sci.
Yaru Hu, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang
2021 J jnl
Generalized Moving Peaks Benchmark.
CoRR
Danial Yazdani, Jürgen Branke, Mohammad Nabi Omidvar, Changhe Li, Michalis Mavrovouniotis, Trung Thanh Nguyen, Shengxiang Yang, Xin Yao
2021 J jnl
Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark.
CoRR
Mohammad Nabi Omidvar, Danial Yazdani, Jürgen Branke, Xiaodong Li, Shengxiang Yang, Xin Yao
2021 C conf
Global Rate-distortion Optimization of Video-based Point Cloud Compression with Differential Evolution.
MMSP
Hui Yuan, Raouf Hamzaoui, Ferrante Neri, Shengxiang Yang, Tingting Wang
2021 J jnl
Handling Constrained Many-Objective Optimization Problems via Problem Transformation.
IEEE Trans. Cybern.
Ruwang Jiao, Sanyou Zeng, Changhe Li, Shengxiang Yang, Yew-Soon Ong
2021 J jnl
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images.
IEEE Access
Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, Simon Colreavy-Donnelly, David A. Elizondo, Luis Oala, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Ezequiel López-Rubio, Miguel A. Molina-Cabello
2021 B conf
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning.
IJCNN
Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverde, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel López-Rubio, Miguel A. Molina-Cabello
2021 — conf
Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution.
ICIG (1)
Hui Yuan, Raouf Hamzaoui, Ferrante Neri, Shengxiang Yang
2021 J jnl
Niche-based and angle-based selection strategies for many-objective evolutionary optimization.
Inf. Sci.
Jinlong Zhou, Juan Zou, Shengxiang Yang, Jinhua Zheng, Dunwei Gong, Tingrui Pei
2020 B conf
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning.
IJCNN
Ariana Bermudez, Saúl Calderón Ramírez, Trevor Thang, Pascal N. Tyrrell, Armaghan Moemeni, Shengxiang Yang, Jordina Torrents-Barrena
2020 J jnl
A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput.
Qing-da Chen, Jinliang Ding, Shengxiang Yang, Tianyou Chai
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A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization.
IEEE Trans. Cybern.
Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor
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A Similarity-Based Cooperative Co-Evolutionary Algorithm for Dynamic Interval Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput.
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A close neighbor mobility method using particle swarm optimizer for solving multimodal optimization problems.
Inf. Sci.
Juan Zou, Qi Deng, Jinhua Zheng, Shengxiang Yang
2020 J jnl
A dynamic multi-objective evolutionary algorithm based on intensity of environmental change.
Inf. Sci.
Yaru Hu, Jinhua Zheng, Juan Zou, Shengxiang Yang, Junwei Ou, Rui Wang
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AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation.
Inf. Sci.
Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor
2020 B conf
An Experimental Study of Prediction Methods in Robust optimization Over Time.
CEC
Matthew Fox, Shengxiang Yang, Fabio Caraffini
2020 J jnl
An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection.
Inf. Sci.
Junfei Qiao, Fei Li, Shengxiang Yang, Cuili Yang, Wenjing Li, Ke Gu
2020 — conf
An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme.
GECCO Companion
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2020 J jnl
Analysis and multi-objective optimization of slag powder process.
Appl. Soft Comput.
Xiaoli Li, Shiqi Shen, Shengxiang Yang, Kang Wang, Yang Li
2020 J jnl
Ant Colony Optimization Algorithms for Dynamic Optimization: A Case Study of the Dynamic Travelling Salesperson Problem [Research Frontier].
IEEE Comput. Intell. Mag.
Michalis Mavrovouniotis, Shengxiang Yang, Mien Van, Changhe Li, Marios M. Polycarpou
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Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties.
IEEE Trans. Control. Syst. Technol.
Qing-da Chen, Jinliang Ding, Shengxiang Yang, Tianyou Chai
2020 J jnl
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images.
CoRR
Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
2020 B conf
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images.
ICPR
Saúl Calderón Ramírez, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni, Mario Umaña, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello
2020 J jnl
Energy Consumption Forecasting for the Nonferrous Metallurgy Industry Using Hybrid Support Vector Regression with an Adaptive State Transition Algorithm.
Cogn. Comput.
Zhaoke Huang, Chunhua Yang, Xiaojun Zhou, Shengxiang Yang
2020 B conf
Evolutionary Approach to Multiparty Multiobjective Optimization Problems with Common Pareto Optimal Solutions.
CEC
Wenjie Liu, Wenjian Luo, Xin Lin, Miqing Li, Shengxiang Yang
2020 J jnl
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures.
CoRR
Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello
2020 Misc conf
Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions.
ICMLC
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Novel Prediction Strategies for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Qingyang Zhang, Shengxiang Yang, Shouyong Jiang, Ronggui Wang, Xiaoli Li
2020 B conf
Particle Swarm Optimisation for Scheduling Electric Vehicles with Microgrids.
CEC
Zedong Zheng, Shengxiang Yang
2020 J jnl
Ra-dominance: A new dominance relationship for preference-based evolutionary multiobjective optimization.
Appl. Soft Comput.
Juan Zou, Qite Yang, Shengxiang Yang, Jinhua Zheng
2020 — conf
Reinforced Evolutionary Algorithms for Game Difficulty Control.
ACAI
Guangwu Cui, Ruimin Shen, Yingfeng Chen, Juan Zou, Shengxiang Yang, Changjie Fan, Jinghua Zheng
2020 J jnl
Solving dynamic multi-objective problems with an evolutionary multi-directional search approach.
Knowl. Based Syst.
Yaru Hu, Junwei Ou, Jinhua Zheng, Juan Zou, Shengxiang Yang, Gan Ruan
2019 J jnl
A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation.
IEEE Trans. Cybern.
Wei Fang, Lingzhi Zhang, Shengxiang Yang, Jun Sun, Xiaojun Wu
2019 — conf
A Novel Multi-objective Evolutionary Algorithm Based on Space Partitioning.
ISICA
Xiaofang Wu, Changhe Li, Sanyou Zeng, Shengxiang Yang
2019 J jnl
A Pareto-based many-objective evolutionary algorithm using space partitioning selection and angle-based truncation.
Inf. Sci.
Hui Bai, Jinhua Zheng, Guo Yu, Shengxiang Yang, Juan Zou
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A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation.
CoRR
Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor
2019 B conf
A Two-layer Optimization Management Method for the Microgrid with Electric Vehicles.
CEC
Zedong Zheng, Shengxiang Yang
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A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty.
Appl. Soft Comput.
Junfei Qiao, Hongbiao Zhou, Cuili Yang, Shengxiang Yang
2019 J jnl
A dynamic multiobjective evolutionary algorithm based on a dynamic evolutionary environment model.
Swarm Evol. Comput.
Juan Zou, Qingya Li, Shengxiang Yang, Jinhua Zheng, Zhou Peng, Tingrui Pei
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A framework for inducing artificial changes in optimization problems.
Inf. Sci.
Renato Tinós, Shengxiang Yang
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A knee-point-based evolutionary algorithm using weighted subpopulation for many-objective optimization.
Swarm Evol. Comput.
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A pareto-based evolutionary algorithm using decomposition and truncation for dynamic multi-objective optimization.
Appl. Soft Comput.
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A predictive strategy based on special points for evolutionary dynamic multi-objective optimization.
Soft Comput.
Qingya Li, Juan Zou, Shengxiang Yang, Jinhua Zheng, Gan Ruan
2019 J jnl
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation.
CoRR
Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor
2019 J jnl
Accelerating differential evolution based on a subset-to-subset survivor selection operator.
Soft Comput.
Jinglei Guo, Zhijian Li, Shengxiang Yang
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An Adaptive Framework to Tune the Coordinate Systems in Nature-Inspired Optimization Algorithms.
IEEE Trans. Cybern.
Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Ke Tang
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An adaptation reference-point-based multiobjective evolutionary algorithm.
Inf. Sci.
Juan Zou, Liuwei Fu, Shengxiang Yang, Jinhua Zheng, Gan Ruan, Tingrui Pei, Lei Wang
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An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals.
Swarm Evol. Comput.
Zhen Wang, Jihui Zhang, Shengxiang Yang
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Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data Streams.
IEEE Trans. Cybern.
Conor Fahy, Shengxiang Yang, Mario Gongora
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Biology migration algorithm: a new nature-inspired heuristic methodology for global optimization.
Soft Comput.
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Dynamic Feature Selection for Clustering High Dimensional Data Streams.
IEEE Access
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Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons.
Swarm Evol. Comput.
Yong Wang, Jian Yu, Shengxiang Yang, Shouyong Jiang, Shuang Zhao
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Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints.
IEEE Trans. Cybern.
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Hybrid of memory and prediction strategies for dynamic multiobjective optimization.
Inf. Sci.
Zhengping Liang, Shunxiang Zheng, Zexuan Zhu, Shengxiang Yang
2019 B conf
Memory-based multi-population genetic learning for dynamic shortest path problems.
CEC
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2019 J jnl
Novel implementation of defence strategy of relay attack based on cloud in RFID systems.
Int. J. Inf. Comput. Secur.
He Xu, Weiwei Shen, Peng Li, Keith Mayes, Ruchuan Wang, Dashen Li, Shengxiang Yang
2018 B conf
A Loosely Coupled Hybrid Meta-Heuristic Algorithm for the Static Independent Task Scheduling Problem in Grid Computing.
CEC
Muhanad Tahrir Younis, Shengxiang Yang, Benjamin N. Passow
2018 — conf
A Performance Indicator for Reference-Point-Based Multiobjective Evolutionary Optimization.
SSCI
Zhanglu Hou, Shengxiang Yang, Juan Zou, Jinhua Zheng, Guo Yu, Gan Ruan
2018 J jnl
A many-objective evolutionary algorithm based on rotated grid.
Appl. Soft Comput.
Juan Zou, Liuwei Fu, Jinhua Zheng, Shengxiang Yang, Guo Yu, Yaru Hu
2018 J jnl
Adaptive neighborhood selection for many-objective optimization problems.
Appl. Soft Comput.
Juan Zou, Yuping Zhang, Shengxiang Yang, Yuan Liu, Jinhua Zheng
2018 B conf
An Empirical Study of Dynamic Triobjective Optimisation Problems.
CEC
Shouyong Jiang, Marcus Kaiser, Shuzhen Wan, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor
2018 — conf
An Evolutionary Dynamic Multi-objective Optimization Algorithm Based on Center-point Prediction and Sub-population Autonomous Guidance.
SSCI
Jianwei Zhou, Juan Zou, Shengxiang Yang, Gan Ruan, Junwei Ou, Jinhua Zheng
2018 J jnl
Differential Evolution With a New Encoding Mechanism for Optimizing Wind Farm Layout.
IEEE Trans. Ind. Informatics
Yong Wang, Hao Liu, Huan Long, Zijun Zhang, Shengxiang Yang
2018 J jnl
Guest Editorial: Special Issue on Computational Intelligence for Cloud Computing.
IEEE Trans. Emerg. Top. Comput. Intell.
Hui Cheng, Xin Yao, Shengxiang Yang, Mengjie Zhang
2018 J jnl
Hybrid meta-heuristic algorithms for independent job scheduling in grid computing.
Appl. Soft Comput.
Muhanad Tahrir Younis, Shengxiang Yang
2018 A conf
Less detectable environmental changes in dynamic multiobjective optimisation.
GECCO
Shouyong Jiang, Marcus Kaiser, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor
2018 J jnl
Multiline Distance Minimization: A Visualized Many-Objective Test Problem Suite.
IEEE Trans. Evol. Comput.
Miqing Li, Crina Grosan, Shengxiang Yang, Xiaohui Liu, Xin Yao
2018 J jnl
Multiobjective optimization of the production process for ground granulated blast furnace slags.
Soft Comput.
Kang Wang, Xiaoli Li, Chao Jia, Shengxiang Yang, Miqing Li, Yang Li
2018 J jnl
Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput.
Shouyong Jiang, Shengxiang Yang, Yong Wang, Xiaobin Liu
2017 J jnl
A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Shouyong Jiang, Shengxiang Yang
2017 J jnl
A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Shouyong Jiang, Shengxiang Yang
2017 J jnl
A Two-Phase Differential Evolution for Uniform Designs in Constrained Experimental Domains.
IEEE Trans. Evol. Comput.
Yong Wang, Biao Xu, Guangyong Sun, Shengxiang Yang
2017 J jnl
A Weighted Biobjective Transformation Technique for Locating Multiple Optimal Solutions of Nonlinear Equation Systems.
IEEE Trans. Evol. Comput.
Wenyin Gong, Yong Wang, Zhihua Cai, Shengxiang Yang
2017 J jnl
A green intelligent routing algorithm supporting flexible QoS for many-to-many multicast.
Comput. Networks
Xingwei Wang, Jinhong Zhang, Min Huang, Shengxiang Yang
2017 J jnl
A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization.
Appl. Soft Comput.
Juan Zou, Qingya Li, Shengxiang Yang, Hui Bai, Jinhua Zheng
2017 — conf
A proportion-based selection scheme for multi-objective optimization.
SSCI
Liuwei Fu, Juan Zou, Shengxiang Yang, Gan Ruan, Zhongwei Ma, Jinhua Zheng
2017 J jnl
A survey of swarm intelligence for dynamic optimization: Algorithms and applications.
Swarm Evol. Comput.
Michalis Mavrovouniotis, Changhe Li, Shengxiang Yang
2017 J jnl
An Adaptive Framework to Tune the Coordinate Systems in Evolutionary Algorithms.
CoRR
Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Ke Tang
2017 J jnl
Ant Colony Optimization With Local Search for Dynamic Traveling Salesman Problems.
IEEE Trans. Cybern.
Michalis Mavrovouniotis, Felipe Martins Müller, Shengxiang Yang
2017 J jnl
Ant Colony Optimization for Simulated Dynamic Multi-Objective Railway Junction Rescheduling.
IEEE Trans. Intell. Transp. Syst.
Jayne Eaton, Shengxiang Yang, Mario Gongora
2017 — conf
Considering flexibility in the evolutionary dynamic optimisation of airport security lane schedules.
SSCI
Darren M. Chitty, Shengxiang Yang, Mario Gongora
2017 J jnl
Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons.
IEEE Trans. Cybern.
Shouyong Jiang, Shengxiang Yang
2017 B conf
Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters.
CEC
Conor Fahy, Shengxiang Yang, Mario Gongora
2017 J jnl
Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes.
Soft Comput.
Shengxiang Yang, Shouyong Jiang, Yong Jiang
2017 — conf
Meta-Heuristically Seeded Genetic Algorithm for Independent Job Scheduling in Grid Computing.
EvoApplications (1)
Muhanad Tahrir Younis, Shengxiang Yang, Benjamin N. Passow
2017 — conf
Pheromone modification strategy for the dynamic travelling salesman problem with weight changes.
SSCI
Michalis Mavrovouniotis, Mien Van, Shengxiang Yang
2017 — conf
Pre-scheduled Colony Size Variation in Dynamic Environments.
EvoApplications (2)
Michalis Mavrovouniotis, Anastasia Ioannou, Shengxiang Yang
2017 — conf
Robustness and Evolutionary Dynamic Optimisation of Airport Security Schedules.
MENDEL
Darren M. Chitty, Shengxiang Yang, Mario Gongora
2017 J jnl
The effect of diversity maintenance on prediction in dynamic multi-objective optimization.
Appl. Soft Comput.
Gan Ruan, Guo Yu, Jinhua Zheng, Juan Zou, Shengxiang Yang
2016 J jnl
A clique-based online algorithm for constructing optical orthogonal codes.
Appl. Soft Comput.
Yuan Zhang, Mao Peng, Shengxiang Yang
2016 B conf
A comparative study of constraint-handling techniques in evolutionary constrained multiobjective optimization.
CEC
Jia-Peng Li, Yong Wang, Shengxiang Yang, Zixing Cai
2016 J jnl
An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima.
IEEE Trans. Evol. Comput.
Changhe Li, Trung Thanh Nguyen, Ming Yang, Michalis Mavrovouniotis, Shengxiang Yang
2016 J jnl
An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts.
IEEE Trans. Cybern.
Shouyong Jiang, Shengxiang Yang
2016 B conf
An adaptive penalty-based boundary intersection approach for multiobjective evolutionary algorithm based on decomposition.
CEC
Jinglei Guo, Shengxiang Yang, Shouyong Jiang
2016 J jnl
Ant colony optimization with immigrants schemes for the dynamic railway junction rescheduling problem with multiple delays.
Soft Comput.
Jayne Eaton, Shengxiang Yang, Michalis Mavrovouniotis
2016 A conf
Artificially Inducing Environmental Changes in Evolutionary Dynamic Optimization.
PPSN
Renato Tinós, Shengxiang Yang
2016 A conf
Convergence Versus Diversity in Multiobjective Optimization.
PPSN
Shouyong Jiang, Shengxiang Yang
2016 B conf
Differential evolution with a two-stage optimization mechanism for numerical optimization.
CEC
Zhi-Zhong Liu, Yong Wang, Shengxiang Yang, Zixing Cai
2016 — conf
Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments.
EvoApplications (2)
Michalis Mavrovouniotis, Shengxiang Yang
2016 — conf
Dynamic Stream Clustering Using Ants.
UKCI
Conor Fahy, Shengxiang Yang
2016 B conf
Empirical study on the effect of population size on MAX-MIN ant system in dynamic environments.
CEC
Michalis Mavrovouniotis, Shengxiang Yang
2016 — conf
Evolutionary dynamic optimisation of airport security lane schedules.
SSCI
Darren M. Chitty, Mario Gongora, Shengxiang Yang
2016 J jnl
Improving the JADE algorithm by clustering successful parameters.
Int. J. Wirel. Mob. Comput.
Zhijian Li, Jinglei Guo, Shengxiang Yang
2016 — conf
On the use of hypervolume for diversity measurement of Pareto front approximations.
SSCI
Shouyong Jiang, Shengxiang Yang, Miqing Li
2016 J jnl
Pareto or Non-Pareto: Bi-Criterion Evolution in Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Miqing Li, Shengxiang Yang, Xiaohui Liu
2016 — conf
Railway platform reallocation after dynamic perturbations using ant colony optimisation.
SSCI
Jayne Eaton, Shengxiang Yang
2015 A conf
A Performance Comparison Indicator for Pareto Front Approximations in Many-Objective Optimization.
GECCO
Miqing Li, Shengxiang Yang, Xiaohui Liu
2015 J jnl
A Survey on Problem Models and Solution Approaches to Rescheduling in Railway Networks.
IEEE Trans. Intell. Transp. Syst.
Wei Fang, Shengxiang Yang, Xin Yao
2015 A conf
An Ant Colony Optimization Based Memetic Algorithm for the Dynamic Travelling Salesman Problem.
GECCO
Michalis Mavrovouniotis, Felipe Martins Müller, Shengxiang Yang
2015 B conf
An adaptive local search algorithm for real-valued dynamic optimization.
CEC
Michalis Mavrovouniotis, Ferrante Neri, Shengxiang Yang
2015 J jnl
Ant algorithms with immigrants schemes for the dynamic vehicle routing problem.
Inf. Sci.
Michalis Mavrovouniotis, Shengxiang Yang
2015 B conf
Applying Ant Colony Optimization to Dynamic Binary-Encoded Problems.
EvoApplications
Michalis Mavrovouniotis, Shengxiang Yang
2015 J jnl
Bi-goal evolution for many-objective optimization problems.
Artif. Intell.
Miqing Li, Shengxiang Yang, Xiaohui Liu
2015 — conf
Evolutionary Computation for Dynamic Optimization Problems.
GECCO (Companion)
Shengxiang Yang
2015 J jnl
Multi-population methods in unconstrained continuous dynamic environments: The challenges.
Inf. Sci.
Changhe Li, Trung Thanh Nguyen, Ming Yang, Shengxiang Yang, Sanyou Zeng
2015 — conf
Population-Based Incremental Learning with Immigrants Schemes in Changing Environments.
SSCI
Michalis Mavrovouniotis, Shengxiang Yang
2015 — conf
Towards Knowledge Driven Decision Support for Personalized Home-Based Self-Management of Chronic Diseases.
UIC/ATC/ScalCom
Jun Qi, Liming Chen, Wolfgang Leister, Shengxiang Yang
2015 J jnl
Training neural networks with ant colony optimization algorithms for pattern classification.
Soft Comput.
Michalis Mavrovouniotis, Shengxiang Yang
2014 — conf
A benchmark generator for dynamic multi-objective optimization problems.
UKCI
Shouyong Jiang, Shengxiang Yang
2014 — conf
A framework of scalable dynamic test problems for dynamic multi-objective optimization.
CIDUE
Shouyong Jiang, Shengxiang Yang
2014 B conf
A test problem for visual investigation of high-dimensional multi-objective search.
IEEE Congress on Evolutionary Computation
Miqing Li, Shengxiang Yang, Xiaohui Liu
2014 J jnl
An Adaptive Multi-Swarm Optimizer for Dynamic Optimization Problems.
Evol. Comput.
Changhe Li, Shengxiang Yang, Ming Yang
2014 B conf
An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation.
IEEE Congress on Evolutionary Computation
Shouyong Jiang, Shengxiang Yang
2014 J jnl
Analysis of fitness landscape modifications in evolutionary dynamic optimization.
Inf. Sci.
Renato Tinós, Shengxiang Yang
2014 — conf
Ant colony optimization with self-adaptive evaporation rate in dynamic environments.
CIDUE
Michalis Mavrovouniotis, Shengxiang Yang
2014 J jnl
Diversity Comparison of Pareto Front Approximations in Many-Objective Optimization.
IEEE Trans. Cybern.
Miqing Li, Shengxiang Yang, Xiaohui Liu
2014 — conf
Dynamic railway junction rescheduling using population based ant colony optimisation.
UKCI
Jayne Eaton, Shengxiang Yang
2014 J jnl
ETEA: A Euclidean Minimum Spanning Tree-Based Evolutionary Algorithm for Multi-Objective Optimization.
Evol. Comput.
Miqing Li, Shengxiang Yang, Jinhua Zheng, Xiaohui Liu
2014 B conf
Elitism-based immigrants for ant colony optimization in dynamic environments: Adapting the replacement rate.
IEEE Congress on Evolutionary Computation
Michalis Mavrovouniotis, Shengxiang Yang
2014 J jnl
Evolutionary Algorithms With Segment-Based Search for Multiobjective Optimization Problems.
IEEE Trans. Cybern.
Miqing Li, Shengxiang Yang, Ke Li, Xiaohui Liu
2014 B conf
Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments.
IEEE Congress on Evolutionary Computation
Michalis Mavrovouniotis, Shengxiang Yang
2014 — conf
Multi-colony ant algorithms for the dynamic travelling salesman problem.
CIDUE
Michalis Mavrovouniotis, Shengxiang Yang, Xin Yao
2014 J jnl
Multifurnace Optimization in Electric Smelting Plants by Load Scheduling and Control.
IEEE Trans Autom. Sci. Eng.
Weijian Kong, Tianyou Chai, Jinliang Ding, Shengxiang Yang
2014 J jnl
Shift-Based Density Estimation for Pareto-Based Algorithms in Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Miqing Li, Shengxiang Yang, Xiaohui Liu
2013 C conf
A Comparative Study on Evolutionary Algorithms for Many-Objective Optimization.
EMO
Miqing Li, Shengxiang Yang, Xiaohui Liu, Ruimin Shen
2013 J jnl
A Grid-Based Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput.
Shengxiang Yang, Miqing Li, Xiaohui Liu, Jinhua Zheng
2013 J jnl
A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing.
Appl. Soft Comput.
Weijian Kong, Tianyou Chai, Shengxiang Yang, Jinliang Ding
2013 — conf
A multiobjective particle swarm optimization algorithm for load scheduling in electric smelting furnaces.
CIES
Weijian Kong, Jinliang Ding, Tianyou Chai, Xiuping Zheng, Shengxiang Yang
2013 B conf
Adapting the Pheromone Evaporation Rate in Dynamic Routing Problems.
EvoApplications
Michalis Mavrovouniotis, Shengxiang Yang
2013 J jnl
Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors.
Appl. Soft Comput.
Michalis Mavrovouniotis, Shengxiang Yang
2013 — ch.
Dynamic Optimization Using Analytic and Evolutionary Approaches: A Comparative Review.
Handbook of Optimization
Hendrik Richter, Shengxiang Yang
2013 — ch.
Dynamic Vehicle Routing: A Memetic Ant Colony Optimization Approach.
Automated Scheduling and Planning
Michalis Mavrovouniotis, Shengxiang Yang
2013 J jnl
Dynamic genetic algorithms for the dynamic load balanced clustering problem in mobile ad hoc networks.
Expert Syst. Appl.
Hui Cheng, Shengxiang Yang, Jiannong Cao
2013 — conf
Evolutionary computation for dynamic optimization problems.
GECCO (Companion)
Shengxiang Yang
2013 — conf
Evolving neural networks using ant colony optimization with pheromone trail limits.
UKCI
Michalis Mavrovouniotis, Shengxiang Yang
2013 J jnl
Fourth party logistics routing problem model with fuzzy duration time and cost discount.
Knowl. Based Syst.
Yan Cui, Min Huang, Shengxiang Yang, Loo Hay Lee, Xingwei Wang
2013 B conf
Genetic algorithms with adaptive immigrants for dynamic environments.
IEEE Congress on Evolutionary Computation
Michalis Mavrovouniotis, Shengxiang Yang
2013 C conf
IPESA-II: Improved Pareto Envelope-Based Selection Algorithm II.
EMO
Miqing Li, Shengxiang Yang, Xiaohui Liu, Kang Wang
2012 — conf
A Benchmark Generator for Dynamic Permutation-Encoded Problems.
PPSN (2)
Michalis Mavrovouniotis, Shengxiang Yang, Xin Yao
2012 J jnl
A General Framework of Multipopulation Methods With Clustering in Undetectable Dynamic Environments.
IEEE Trans. Evol. Comput.
Changhe Li, Shengxiang Yang
2012 — conf
A Hybrid Approach to Piecewise Modelling of Biochemical Systems.
PPSN (1)
Zujian Wu, Shengxiang Yang, David R. Gilbert
2012 J jnl
A Self-Learning Particle Swarm Optimizer for Global Optimization Problems.
IEEE Trans. Syst. Man Cybern. Part B
Changhe Li, Shengxiang Yang, Trung Thanh Nguyen
2012 J jnl
A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems.
Int. J. Syst. Sci.
Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang
2012 J jnl
A memetic particle swarm optimization algorithm for multimodal optimization problems.
Inf. Sci.
Hongfeng Wang, Ilkyeong Moon, Shengxiang Yang, Dingwei Wang
2012 B conf
Ant Colony Optimization with Immigrants Schemes for the Dynamic Vehicle Routing Problem.
EvoApplications
Michalis Mavrovouniotis, Shengxiang Yang
2012 B conf
Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem.
IEEE Congress on Evolutionary Computation
Michalis Mavrovouniotis, Shengxiang Yang
2012 J jnl
Evolutionary dynamic optimization: A survey of the state of the art.
Swarm Evol. Comput.
Trung Thanh Nguyen, Shengxiang Yang, Jürgen Branke
2012 J jnl
Force-imitated particle swarm optimization using the near-neighbor effect for locating multiple optima.
Inf. Sci.
Lili Liu, Shengxiang Yang, Dingwei Wang
2012 B conf
Hyper-mutation Based Genetic Algorithms for Dynamic Multicast Routing Problem in Mobile Ad Hoc Networks.
TrustCom
Hui Cheng, Shengxiang Yang
2012 J jnl
Immigrants-Enhanced Multi-Population Genetic Algorithms for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
Appl. Artif. Intell.
Hui Cheng, Shengxiang Yang, Xingwei Wang
2012 — conf
Improved genetic algorithm for magnetic material two-stage multi-product production scheduling: A case study.
CDC
Yefeng Liu, Tianyou Chai, Si-Zhao Joe Qin, Quan-Ke Pan, Shengxiang Yang
2012 B conf
Maintaining diversity by clustering in dynamic environments.
IEEE Congress on Evolutionary Computation
Changhe Li, Shengxiang Yang, Ming Yang
2011 B conf
A Guided Search Non-dominated Sorting Genetic Algorithm for the Multi-Objective University Course Timetabling Problem.
EvoCOP
Sadaf Naseem Jat, Shengxiang Yang
2011 C conf
A hybrid evolutionary multiobjective approach for the dynamic component selection problem.
HIS
Andreea Vescan, Crina Grosan, Shengxiang Yang
2011 J jnl
A hybrid genetic algorithm and tabu search approach for post enrolment course timetabling.
J. Sched.
Sadaf Naseem Jat, Shengxiang Yang
2011 J jnl
A memetic ant colony optimization algorithm for the dynamic travelling salesman problem.
Soft Comput.
Michalis Mavrovouniotis, Shengxiang Yang
2011 — conf
An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem.
Artificial Evolution
Michalis Mavrovouniotis, Shengxiang Yang
2011 J jnl
Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments.
Soft Comput.
Xingguang Peng, Xiaoguang Gao, Shengxiang Yang
2011 J jnl
Genetic Algorithms With Guided and Local Search Strategies for University Course Timetabling.
IEEE Trans. Syst. Man Cybern. Part C
Shengxiang Yang, Sadaf Naseem Jat
2011 — conf
Genetic algorithms with elitism-based immigrants for dynamic load balanced clustering problem in mobile ad hoc networks.
CIDUE
Hui Cheng, Shengxiang Yang
2011 J jnl
Joint QoS multicast routing and channel assignment in multiradio multichannel wireless mesh networks using intelligent computational methods.
Appl. Soft Comput.
Hui Cheng, Shengxiang Yang
2011 — conf
Memory-Based Immigrants for Ant Colony Optimization in Changing Environments.
EvoApplications (1)
Michalis Mavrovouniotis, Shengxiang Yang
2011 J jnl
Self-adaptation of mutation distribution in evolution strategies for dynamic optimization problems.
Int. J. Hybrid Intell. Syst.
Renato Tinós, Shengxiang Yang
2011 J jnl
Use of the
Soft Comput.
Renato Tinós, Shengxiang Yang
2010 J jnl
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments.
IEEE Trans. Evol. Comput.
Shengxiang Yang, Changhe Li
2010 — conf
A Directed Mutation Operator for Real Coded Genetic Algorithms.
EvoApplications (1)
Imtiaz Ali Korejo, Shengxiang Yang, Changhe Li
2010 B conf
A hybrid genetic algorithm and inver over approach for the travelling salesman problem.
IEEE Congress on Evolutionary Computation
Shakeel Arshad, Shengxiang Yang
2010 J jnl
A particle swarm optimization based memetic algorithm for dynamic optimization problems.
Nat. Comput.
Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang
2010 B conf
Adaptive learning particle swarm optimizer-II for global optimization.
IEEE Congress on Evolutionary Computation
Changhe Li, Shengxiang Yang
2010 — conf
An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical System.
PPSN (1)
Renato Tinós, Shengxiang Yang
2010 J jnl
An improved constraint satisfaction adaptive neural network for job-shop scheduling.
J. Sched.
Shengxiang Yang, Dingwei Wang, Tianyou Chai, Graham Kendall
2010 — conf
Ant Colony Optimization with Immigrants Schemes in Dynamic Environments.
PPSN (2)
Michalis Mavrovouniotis, Shengxiang Yang
2010 — conf
Evolution Strategies with q-Gaussian Mutation for Dynamic Optimization Problems.
SBRN
Renato Tinós, Shengxiang Yang
2010 J jnl
Genetic Algorithms With Immigrants and Memory Schemes for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
IEEE Trans. Syst. Man Cybern. Part C
Shengxiang Yang, Hui Cheng, Fang Wang
2010 J jnl
Genetic algorithms with immigrants schemes for dynamic multicast problems in mobile ad hoc networks.
Eng. Appl. Artif. Intell.
Hui Cheng, Shengxiang Yang
2010 J jnl
Guest editorial: Memetic Computing in the presence of uncertainties.
Memetic Comput.
Ferrante Neri, Shengxiang Yang
2010 — conf
Multi-population Genetic Algorithms with Immigrants Scheme for Dynamic Shortest Path Routing Problems in Mobile Ad Hoc Networks.
EvoApplications (1)
Hui Cheng, Shengxiang Yang
2010 J jnl
Particle Swarm Optimization With Composite Particles in Dynamic Environments.
IEEE Trans. Syst. Man Cybern. Part B
Lili Liu, Shengxiang Yang, Dingwei Wang
2010 J jnl
QoS multicast tree construction in IP/DWDM optical internet by bio-inspired algorithms.
J. Netw. Comput. Appl.
Hui Cheng, Xingwei Wang, Shengxiang Yang, Min Huang, Jiannong Cao
2009 B conf
A clustering particle swarm optimizer for dynamic optimization.
IEEE Congress on Evolutionary Computation
Changhe Li, Shengxiang Yang
2009 J jnl
A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems.
Soft Comput.
Hongfeng Wang, Dingwei Wang, Shengxiang Yang
2009 J jnl
A multipopulation parallel genetic simulated annealing-based QoS routing and wavelength assignment integration algorithm for multicast in optical networks.
Appl. Soft Comput.
Hui Cheng, Xingwei Wang, Shengxiang Yang, Min Huang
2009 J jnl
Adaptive Primal-Dual Genetic Algorithms in Dynamic Environments.
IEEE Trans. Syst. Man Cybern. Part B
Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang
2009 — conf
An Immune System Based Genetic Algorithm Using Permutation-Based Dualism for Dynamic Traveling Salesman Problems.
EvoWorkshops
Lili Liu, Dingwei Wang, Shengxiang Yang
2009 B conf
An adaptive learning particle swarm optimizer for function optimization.
IEEE Congress on Evolutionary Computation
Changhe Li, Shengxiang Yang
2009 — ed.
Applications of Evolutionary Computing, EvoWorkshops 2009: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG, Tübingen, Germany, April 15-17, 2009. Proceedings
EvoWorkshops
Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni A. Di Caro, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Penousal Machado, Jon McCormack, Michael O'Neill, Ferrante Neri, Mike Preuss, Franz Rothlauf, Ernesto Tarantino, Shengxiang Yang
2009 B conf
Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networks.
IEEE Congress on Evolutionary Computation
Hui Cheng, Shengxiang Yang
2009 B conf
Hyper-learning for population-based incremental learning in dynamic environments.
IEEE Congress on Evolutionary Computation
Shengxiang Yang, Hendrik Richter
2009 — conf
Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Tabu Search.
ICNC (4)
Hui Cheng, Shengxiang Yang
2009 J jnl
Learning behavior in abstract memory schemes for dynamic optimization problems.
Soft Comput.
Hendrik Richter, Shengxiang Yang
2009 J jnl
Stability-aware multi-metric clustering in mobile ad hoc networks with group mobility.
Wirel. Commun. Mob. Comput.
Hui Cheng, Jiannong Cao, Xingwei Wang, Sajal K. Das, Shengxiang Yang
2008 — conf
A Generalized Approach to Construct Benchmark Problems for Dynamic Optimization.
SEAL
Changhe Li, Shengxiang Yang
2008 — conf
A Memetic Algorithm for the University Course Timetabling Problem.
ICTAI (1)
Sadaf Naseem Jat, Shengxiang Yang
2008 — conf
A Review of Personal Communications Services.
ICYCS
Hui Cheng, Xingwei Wang, Min Huang, Shengxiang Yang
2008 B conf
A multi-agent based evolutionary algorithm in non-stationary environments.
IEEE Congress on Evolutionary Computation
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang Yang, Dazhi Wang
2008 — conf
An Island Based Hybrid Evolutionary Algorithm for Optimization.
SEAL
Changhe Li, Shengxiang Yang
2008 — ed.
Applications of Evolutionary Computing, EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings
EvoWorkshops
Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni Di Caro, Rolf Drechsler, Anikó Ekárt, Anna Esparcia-Alcázar, Muddassar Farooq, Andreas Fink, Jon McCormack, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Sima Uyar, Shengxiang Yang
2008 — conf
Compound Particle Swarm Optimization in Dynamic Environments.
EvoWorkshops
Lili Liu, Dingwei Wang, Shengxiang Yang
2008 B conf
Evolutionary programming with q-Gaussian mutation for dynamic optimization problems.
IEEE Congress on Evolutionary Computation
Renato Tinós, Shengxiang Yang
2008 — conf
Fast Multi-Swarm Optimization for Dynamic Optimization Problems.
ICNC (7)
Changhe Li, Shengxiang Yang
2008 J jnl
Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments.
Evol. Comput.
Shengxiang Yang
2008 B conf
Hyper-selection in dynamic environments.
IEEE Congress on Evolutionary Computation
Shengxiang Yang, Renato Tinós
2008 — conf
Joint Multicast Routing and Channel Assignment in Multiradio Multichannel Wireless Mesh Networks Using Simulated Annealing.
SEAL
Hui Cheng, Shengxiang Yang
2008 — conf
Learning in Abstract Memory Schemes for Dynamic Optimization.
ICNC (1)
Hendrik Richter, Shengxiang Yang
2008 — conf
Memory Based on Abstraction for Dynamic Fitness Functions.
EvoWorkshops
Hendrik Richter, Shengxiang Yang
2008 A conf
Particle Filter with Swarm Move for Optimization.
PPSN
Chunlin Ji, Yangyang Zhang, Mengmeng Tong, Shengxiang Yang
2008 J jnl
Population-Based Incremental Learning With Associative Memory for Dynamic Environments.
IEEE Trans. Evol. Comput.
Shengxiang Yang, Xin Yao
2007 J jnl
A hybrid immigrants scheme for genetic algorithms in dynamic environments.
Int. J. Autom. Comput.
Shengxiang Yang, Renato Tinós
2007 J jnl
A self-organizing random immigrants genetic algorithm for dynamic optimization problems.
Genet. Program. Evolvable Mach.
Renato Tinós, Shengxiang Yang
2007 — ed.
Applications of Evolutinary Computing, EvoWorkshops 2007: EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog, Valencia, Spain, April11-13, 2007, Proceedings.
EvoWorkshops
Mario Giacobini, Anthony Brabazon, Stefano Cagnoni, Gianni Di Caro, Rolf Drechsler, Muddassar Farooq, Andreas Fink, Evelyne Lutton, Penousal Machado, Stefan Minner, Michael O'Neill, Juan Romero, Franz Rothlauf, Giovanni Squillero, Hideyuki Takagi, Sima Uyar, Shengxiang Yang
2007 B conf
Continuous dynamic problem generators for evolutionary algorithms.
IEEE Congress on Evolutionary Computation
Renato Tinós, Shengxiang Yang
2007 — book
Evolutionary Computation in Dynamic and Uncertain Environments
Shengxiang Yang, Yew-Soon Ong, Yaochu Jin
2007 — ch.
Explicit Memory Schemes for Evolutionary Algorithms in Dynamic Environments.
Evolutionary Computation in Dynamic and Uncertain Environments
Shengxiang Yang
2007 — conf
Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems.
EvoWorkshops
Shengxiang Yang
2007 — ch.
Genetic Algorithms with Self-Organizing Behaviour in Dynamic Environments.
Evolutionary Computation in Dynamic and Uncertain Environments
Renato Tinós, Shengxiang Yang
2007 B conf
Self-adaptation of mutation distribution in evolutionary algorithms.
IEEE Congress on Evolutionary Computation
Renato Tinós, Shengxiang Yang
2007 — conf
Triggered Memory-Based Swarm Optimization in Dynamic Environments.
EvoWorkshops
Hongfeng Wang, Dingwei Wang, Shengxiang Yang
2006 A conf
A comparative study of immune system based genetic algorithms in dynamic environments.
GECCO
Shengxiang Yang
2006 Misc conf
Adaptive mutation with fitness and allele distribution correlation for genetic algorithms.
SAC
Shengxiang Yang, Sima Uyar
2006 — conf
Associative Memory Scheme for Genetic Algorithms in Dynamic Environments.
EvoWorkshops
Shengxiang Yang
2006 A conf
Dominance learning in diploid genetic algorithms for dynamic optimization problems.
GECCO
Shengxiang Yang
2006 J jnl
Editorial to special issue on evolutionary computation in dynamic and uncertain environments.
Genet. Program. Evolvable Mach.
Shengxiang Yang, Yew-Soon Ong, Yaochu Jin
2006 B conf
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach.
IJCNN
Shengxiang Yang
2006 B conf
On the Design of Diploid Genetic Algorithms for Problem Optimization in Dynamic Environments.
IEEE Congress on Evolutionary Computation
Shengxiang Yang
2005 B conf
An Improved Adaptive Neural Network for Job-Shop Scheduling.
SMC
Shengxiang Yang
2005 — conf
Evolutionary algorithms for dynamic optimization problems: workshop preface.
GECCO Workshops
Shengxiang Yang, Jürgen Branke
2005 J jnl
Experimental study on population-based incremental learning algorithms for dynamic optimization problems.
Soft Comput.
Shengxiang Yang, Xin Yao
2005 B conf
Genetic algorithms with self-organized criticality for dynamic optimization problems.
Congress on Evolutionary Computation
Renato Tinós, Shengxiang Yang
2005 A conf
Memory-based immigrants for genetic algorithms in dynamic environments.
GECCO
Shengxiang Yang
2005 B conf
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems.
Congress on Evolutionary Computation
Shengxiang Yang
2005 A conf
Population-based incremental learning with memory scheme for changing environments.
GECCO
Shengxiang Yang
2004 B conf
Constructing dynamic test environments for genetic algorithms based on problem difficulty.
IEEE Congress on Evolutionary Computation
Shengxiang Yang
2003 — conf
Adaptive Mutation Using Statistics Mechanism for Genetic Algorithms.
SGAI Conf.
Shengxiang Yang
2003 B conf
Non-stationary problem optimization using the primal-dual genetic algorithm.
IEEE Congress on Evolutionary Computation
Shengxiang Yang
2003 C conf
PDGA: the Primal-Dual Genetic Algorithm.
HIS
Shengxiang Yang
2003 A conf
Statistics-Based Adaptive Non-uniform Mutation for Genetic Algorithms.
GECCO
Shengxiang Yang
2002 — conf
Adaptive Non-Uniform Mutation Based on Statistics for Genetic Algorithms.
GECCO Late Breaking Papers
Shengxiang Yang
2002 A conf
Adaptive Non-uniform Crossover Based On Statistics For Genetic Algorithms.
GECCO
Shengxiang Yang
2001 J jnl
A new adaptive neural network and heuristics hybrid approach for job-shop scheduling.
Comput. Oper. Res.
Shengxiang Yang, Dingwei Wang
2000 J jnl
Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling.
IEEE Trans. Neural Networks Learn. Syst.
Shengxiang Yang, Dingwei Wang