CEC B

200 papers

YearTitle / Authors
2025A Bio-Inspired Goal-Directed Cognitive Map Approach to Robot Navigation and Mapping.
Matthew Hicks, Tingjun Lei, Chaomin Luo, Lantao Liu, Zhuming Bi
2025A Biogeography-based Dual-Strategy Particle Swarm Algorithm for Numerical and Engineering Design Optimization.
Xia Wang, Hongwei Ge, Yaqing Hou, Mengyue Wang
2025A Centroid Guided Cluster Transformation for Dynamic Multi-Objective Optimization Algorithm.
Yi Zeng, Xuewen Xia, Fenglin Lin, Yuehui Zhang, Meitong Liu
2025A Co-Competitive Multiobjective Particle Swarm Optimization Algorithm Based on Dimensionality Reduction.
Zhengrui Shi, Yaopeng Li, Ming Jia
2025A Convolutional Sparse Representations Integration Strategy Based on Self-Attention Genetic Programming for Multimodal Image Fusion.
Yi Luo, Chang Liu, Dong Ji
2025A Dual-Encoding-based Genetic Algorithm for Multi-Objective Multi-UAV Scheduling in Firefighting Scenarios.
Meng Gao, Xiao-Fang Liu, Zhi-Hui Zhan, Jun Zhang
2025A Dual-Resolution Cooperative Evolutionary Algorithm for Multi-Objective IMRT Inverse Planning.
Yuan Yao, Chen Li, Jun Wu, Zhang Yi, Ying Song, Guangjun Li, Junjie Hu
2025A Dual-population Evolutionary Algorithm for Multi-objective Vehicle Routing Problems with Three Dimensional Loading Constraints.
Quan Zhou, Jinglong Gao, Hao Jiang
2025A Dynamic Breathing Surrogate-Assisted Particle Swarm Optimization Algorithm for Expensive Multi-Objective Optimization Problems.
Jingzhe Wang, Yajing Wang, Liang Zhang, Zongwei Luo
2025A Dynamic Multi-Method Evolutionary Algorithm for Multi-Objective Optimization with Learning Strategy.
Cong Li, Le Yan, Haoyu Zhang, Weiguo Sheng, Haibo Gao, Chang-Duo Liang
2025A First Approach to Refine Semantic Spaces in Zero-Shot Learning with a Genetic Algorithm.
J. J. Herrera, Francisco Herrera, Isaac Triguero
2025A GAN-Assisted Bi-Stage Bayesian Co-Evolution Optimization Algorithm for High-dimensional Expensive Many-Objective Problems.
Jie Tian, Hongli Bian, Yuyao Zhang, Xiaoxu Zhang, Nevena Mijajlovic
2025A General Feature-Informed Crossover for Two-Stage Feature Selection in Symbolic Regression.
Hengzhe Zhang, Qi Chen, Bing Xue, Wolfgang Banzhaf, Mengjie Zhang
2025A Genetic Programming-Based Approach for Automated Dispatching Rules Design in Dynamic EDA Scientific Workflows.
Yu Sun, Ying Meng
2025A Hybrid Granular Ball-Ant Colony Optimization for the Multi-Depot Half-Open Time-Dependent Electric Vehicle Routing Problem.
Yingkai Xu, Anikó Kopacz, Camelia Chira
2025A Hybrid Reinforcement Learning BRKGA with Local Branching for a Sensor Allocation Problem.
Rafael Schneider, Cláudio André Da Silva Alves, Israel Mendonça, Pedro Henrique González Silva
2025A Large-Scale Expensive Multi-Objective Optimization Algorithm Assisted By Multiple Subproblems Collaboration.
Yanke Zhang, Xiaotong Liu, Ying Tan, Chaoli Sun
2025A Many-objective Hybrid Recommendation Algorithm Based on User Grouping.
Lin Tang, Guochen Zhang, Chaoli Sun
2025A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters.
Aoi Kato, Kenta Kojima, Masahiro Nomura, Isao Ono
2025A Memetic Algorithm for the Capacity-Constrained Community Detection Problem in Social Networks.
Yawen Li, Xin Lyu, Zequn Wei, Guanhua Ye, Jintong Ren
2025A Meta-Learning-Based Federated Surrogate-Assisted Evolutionary Algorithm for Dynamic Expensive Optimization.
Liqun Wen, Hongfeng Wang
2025A Moss Growth Optimization Approach to Robot Path Planning.
Samuel Steen, Tingjun Lei, Chaomin Luo, Sicong Shao, Lin Gong
2025A Multi-Granularity Fireworks Algorithm with Collaboration and Competition for Solving the Influence Maximization Problem.
Bin Hou, Guoyin Wang, Shuyin Xia, Degang Chen
2025A Multi-Objective Genetic Programming with Size Diversity for Symbolic Regression Problem.
Yujie Zhang, Guoquan Li, Zhengwen Huang, Jinshuo Jia, Xiang Li, Donghui Peng
2025A Multi-station Electric Vehicle Charging Scheduling Problem with Non-identical Chargers.
Abdennour Azerine, Mahmoud Golabi, Ammar Oulamara, Lhassane Idoumghar
2025A Nested Genetic Algorithm for Modeling Self-Organizing Rules in Collective Behaviors.
Tong Liu, Yapei Wu, Tao Wang, Xingguang Peng
2025A Neural-Assisted Combinatorial Optimizer with Adaptive Neighborhood Search.
Weile Xu, Anqi Pan
2025A Novel Hybrid System for ASD Diagnosis: Integrating EEG Image Analysis, Deep Learning, and Swarm Intelligence.
Jordana Leandro Seixas, Flávio Secco Fonseca, Maíra Araújo de Santana, Cecilia Cordeiro da Silva, Clarisse Lins de Lima, Arianne Sarmento Torcate, Giselle Machado Magalhaes Moreno, Juliana Carneiro Gomes, Wellington Pinheiro dos Santos
2025A Parallel Surrogate-Assisted Multi-Penalty Function Search for Simulation-Driven Antenna Design.
Jin Wang, Qingbin Guo, Haoran Gu, Handing Wang
2025A Physics-Informed Evolutionary Transfer Optimization Framework for Material Design.
Cheng Chen, Haokai Hong, Wanyu Lin, Kay Chen Tan
2025A Preference-Guided Multi-Objective Recommendation Algorithm with an Adaptive Tchebycheff Environmental Selection.
Xiaoge Li, Xiaotong Liu, Chaoli Sun
2025A Simple and Comprehensive Method Based on Measure Comparison for Global Convergence Analysis in Evolutionary Computation.
Liu-Yue Luo, Zhi-Hui Zhan
2025A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization.
Xiaoming Xue, Liang Feng, Yinglan Feng, Rui Liu, Kai Zhang, Kay Chen Tan
2025A Two-Layer Task Allocation Algorithm for Search and Rescue under Communication Constraints.
Yutong Jiang, Hui Lu, Ping Zhou, Xuehao Deng
2025A Two-Stage Adaptive Large-Scale Evolutionary Algorithm via PCA-Guided Perturbation.
Songxiang Zhong, Min-Rong Chen, Zeyan Zhang, Jixiang Zeng, Zihua Guo
2025A Two-Stage Approach Combining Feature Selection and Construction for Hyperspectral Crop Classification.
Jing Liang, Zexuan Yang, Ying Bi
2025A dual-population and three-stage constrained multi-objective evolutionary algorithm based on alternative evolution and degeneration.
Xinyu Zhou, Yanjun Zhu, Weifeng Lin
2025AI-Assisted Fluid-Structure Modeling and Optimization of Pump-Jet Propulsor.
Yichen Hao, Linsheng Xia, Chao Bian, Zhendong Guo, Xiaofang Wang, Haitao Liu
2025Action-based Representation for Stochastic Optimization of Complex Real-World RVRP.
David Sedlak, Michal Bidlo, Milos Cervenka
2025Adaptive L1 Regularization for Neural Network-Based Symbolic Regression.
Xavier Leresche, Alban Goupil, Valeriu Vrabie, Loïc Kolodziejczak
2025Adaptive Strategy for Optimizing Latency-Energy Tradeoffs in Edge Computing Task Offloading.
Yingying Sun, Zhiming Dong, Gongshu Wang, Ren Zhao
2025Adaptive Transfer Learning Assisted Multimodal Multi-objective Optimization Algorithm Based on Zoning Search.
Shaojie Chen, Jingjing Wang, Jun Yu, Qingchao Jiang, Qinqin Fan
2025Adaptive surrogate-assisted evolutionary multi-objective community detection algorithm with core node learning.
Siying Lv, Shuwei Zhu, Wei Fang
2025Addressing Limitations and Inaccuracy of Diversity Metrics in Evolutionary Algorithms with an Accurate Dimension-Wise Diversity.
Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Itzel Aranguren, Arturo Valdivia, Mario A. Navarro, Diego Oliva
2025Algorithm Performance Comparison of the (1+1) EA with Heavy-Tailed Mutators.
Xiaoyue Li, Samuel Baguley, Timo Kötzing
2025An Adaptive Multi-Granular Pareto-Optimal Subspace Learning Algorithm for Sparse Large-Scale Multi-Objective Optimization.
Chengze Sun, Ye Tian, Shuai Shao, Shangshang Yang, Xingyi Zhang
2025An Adaptive Probabilistic Evolutionary Multi-task Algorithm for Multi-objective Recommendation.
Yuanyuan Ge, Shuai Wang, Haipeng Yang, Meng Zhu, Yimin Guo, Yingjie Li, Lei Zhang
2025An Efficient Multi-Objective Shuffled Frog Leaping Algorithm-Based Method for Metabolic Pathway Design.
Xin Zhao, Haotong Li, Tao Zhang, Jiajing Qi, Yahui Cao, Ming Yang, Weijie Liu
2025An Elite-Guided Large-Scale Multi-Objective Evolutionary Algorithm Driven by Denoising Diffusion Probabilistic Models.
Tingting Dang, Wenxuan Fang, Jiaqiang Li, Qiqi Liu, Junhua Gu, Yaochu Jin
2025An Enhanced Multi-Objective Evolutionary Algorithm for Adaptive-Formation Multi-UAV Task Allocation with Load-Dependent Constraints.
Tuo Hu, Xiaoying Yang, Fuhua Jia, Hang Xu, Kai Yang, Tianxiang Cui
2025An Enhanced Search Direction-Based Knowledge Transfer for Multiobjective Many-Tasking Evolutionary Optimization.
Wu Lin, Songbai Liu, Qingling Zhu, Qiuzhen Lin
2025An Evolutionary Multitasking-Based Unsupervised Learning Framework for Learning to Optimize.
Wei Wang, Yindong Shen
2025An Evolutionary Neural Architecture Search-Based Approach for Time Series Forecasting.
Trung Hieu Vu, Tien Thanh Nguyen, Eyad Elyan
2025An Evolutionary Reinforcement Learning Method for Multi-energy Microgrid Energy Management.
Qiuting Cai, Yiwen Zhang, Kaitong Zheng, Ya-Hui Jia, Huaiguang Jiang
2025An Improved Evolutionary Multitasking Algorithm for Multitasking Berth Allocation Problem.
Rong Wang, Xin-Xin Xu, Jun Hong, Si-Cheng Wang, Fei Ji, Zhi-Hui Zhan
2025An Improved Pareto Front for the Non-Linear Multi-Objective Fixed Cost Transportation Problem.
Cristian Pop, Petrica C. Pop, Adrian Petrovan
2025An evolutionary algorithm with dynamic grouping-based reproduction for sparse multi-objective optimization.
Junpeng Cheng, Xuming Han, Yali Chu, Ting Zhou
2025Application of evolutionary computation to decision-making in production processes.
Wenkang Zhang, Debin Fan, Enyan Zhu, Yan Xiao, Hu Peng, Honglian Wu
2025AutoKT: Accelerating Knowledge Tracing Model Adaptation with Evolutionary Transfer Optimization.
Longhui Li, Xiaobo Zhang, Hezhen Lu, Jie Zhang, Chenyang Bu
2025Automatic Feature Learning via Genetic Programming with Flexible Filtering for Skin Cancer Image Classification.
Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang
2025Behavior Allocations in Robotic Collective Herding Behavior Evolution.
Ameel Valjee, Bilal Aslan, Geoff Nitschke
2025Benchmarking Streaming Evolutionary Ensemble Learning under Shifting Imbalanced Data.
Ziyu Qiu, Malcolm I. Heywood
2025Bi-Level Optimization of Electric Vehicle Charging Scheduling Using Hybrid Genetic Algorithm and Reinforcement Learning.
Abdennour Azerine, Mahmoud Golabi, Lhassane Idoumghar
2025Bi-Velocity Coevolutionary Multiswarm Particle Swarm Optimization for Many-Objective Gateway Placement Optimization.
Zhou-Zhi Lu, Qi-Te Yang, Ke-Jing Du, Jian-Yu Li, Chun-Hua Chen, Qingrui Zhou, Zhi-Hui Zhan
2025Brain-Inspired Modular Reservoir based on Spiking Neurons for Multi-Task Learning.
Yan Zhou, Yaochu Jin, Jinliang Ding
2025Cellular Automata-Based Model for Simulation of Collective Pedestrian Dynamics in Open-air Environments with Stochastic Transitions and Traffic Signs.
Eduardo C. Silva, Gabriela S. Damazo, Luiz G. A. Martins
2025ClustOpt: A Clustering-Based Approach for Representing and Visualizing the Search Dynamics of Numerical Metaheuristic Optimization Algorithms.
Gjorgjina Cenikj, Gasper Petelin, Tome Eftimov
2025Coevolutionary Optimization for Multi-UAV Path-Planning.
Mitali Sil, Pratyusha Rakshit, Sayan Chatterjee, Archana Chowdhury
2025Community-Aware Role-Based Graph Embedding.
He Yu, Jing Liu
2025Comparing the Performance of Domain Transform-based Differential Evolution with Recent CEC Competition Winners on the CEC2025 Numerical Optimization.
Xin Rou Hu, Jun-Ting Luo, Sheng Xin Zhang
2025Controlling an Exploration in Unbounded Search Space by Novelty-Based Multi-Objectivization.
Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2025Convergence of Expensive Multi-Objective Optimizers: From ParEGO to ExTrEMO.
Haofeng Wu, Tingyang Wei, Jiao Liu, Meng Xu, Yew-Soon Ong, Yaochu Jin
2025Cooperative Coevolutionary Probability-Based Binary Particle Swarm Optimization for High-Dimensional Feature Selection.
An-Da Li, Bing Xue, Mengjie Zhang, Xiongmin Lin, Guodong Wang
2025Cross-Entropy Firefly Algorithm-Assisted Deep Reinforcement Learning for Flexible Flow Shop Scheduling Problems.
Peng Zeng, Chang Liu, Zhenghao Yu, Yaochu Jin, Guangxi Wan
2025Cross-Project Code Smell Detection as a Dynamic Optimization Problem: An Evolutionary Memetic Approach.
Sofien Boutaib, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said
2025Curriculum Learning in Genetic Programming Guided Local Search for Large-scale Vehicle Routing Problems.
Saining Liu, Yi Mei, Mengjie Zhang
2025DE-KAN: A Differential Evolution-Based Optimization Framework for Enhancing Kolmogorov-Arnold Networks in Complex Nonlinear Modeling.
Danlin Li, Bo Yan, Quan Long, Bin Wang
2025Data-Driven Calibration for Wearable Brain Functional Imaging Devices.
Beiyin Pang, Yunyi Zhao, Shufan Yang
2025Deep Learning-Assisted Numerical Simulation of Laser Cladding for Cold-Rolled Rolls.
Zhanqi Liu, Chang Liu
2025Deep Reinforcement Learning Model for Robust Travel Salesman Problem via Multiobjective Optimization Framework.
Yingze Zhong, Hui Li, Zhan Shi, Jianyong Sun
2025Design of Mutation Operators in Fireworks Algorithm Assisted by Large Language Models.
Yifan Liu, Ying Tan
2025Discrete Evolutionary Algorithms for Optimizing Sphere.
Timo Kötzing, Aishwarya Radhakrishnan
2025Distance-Based Weak Convergence Strategy for Multimodal Multi-Objective Optimization.
Zhiyang Zhang, Qianlong Dang, Tingting Wang
2025Diverse Counterfactual Explanations by Differential Evolution with Ablation Strategies for Uncertain Capacitated Arc Routing Problem.
Shaolin Wang, Haoyang Che, He Jiang, Yi Mei, Yi Liu, Ying Gu
2025Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites.
Gabriel Machado Santos, Rita Maria da Silva Julia, Marcelo Zanchetta do Nascimento
2025Dual-Tree Genetic Programming for Automated Discovery of Computing Power Network Scheduling Heuristics.
Benjie Zhao, Ruwang Jiao, Meng Xu, Shuaishuai Liu, Chao Guo, Shaolin Wang, Jin Wang
2025Dynamic Graph Neural Evolution: An Evolutionary Framework Integrating Graph Neural Networks with Adaptive Filtering.
Kaichen Ouyang, Shengwei Fu, Yi Chen, Huiling Chen
2025Dynamic Threshold Selection in Genetic Programming for Imbalanced Fault Diagnosis.
Ke Chen, Tianqing Wu, Ying Bi, Jing Liang, Kunjie Yu
2025Effective Computational Resource Allocation in Evolutionary Multi-Objective Multi-Task Optimization.
Zhiming Dong, Xianpeng Wang
2025Effective Regularization Through Evolutionary Loss-Function Metalearning.
Santiago Gonzalez, Xin Qiu, Risto Miikkulainen
2025Effects of Unbounded External Archive on the Performance of Constrained Multiobjective Evolutionary Algorithms.
Yanyu Chen, Linfeng Zhu, Lie Meng Pang, Hisao Ishibuchi
2025Efficient Federated Bayesian Optimization with Symbolic Regression Model.
Xilu Wang, Kaifeng Yang, Peng Liao, Mengxuan Zhang, Yaochu Jin
2025Embedding Comparator for Evolutionary Neural Architecture Search via Contrastive Learning.
Xiaolei Zhang, Yu Xue, Ferrante Neri
2025Enhancing Knowledge Transfer in the EMTO with Manifold Learning and Reinforcement Learning.
Zhaoqi Wang, Lei Wang, Qiaoyong Jiang, Xinhui Duan
2025Evaluating Color Spaces for Evolutionary Image Contrast Enhancement: An Empirical Study.
Rafael Solar-Hernández, Saúl Zapotecas Martínez, Leopoldo Altamirano Robles, Diego Oliva, Seyed Jalaleddin Mousavirad
2025Evaluation of a Coordination Model for Robot Swarms in Collective Environment Mapping.
Claudiney R. Tinoco, Bruno A. N. Travençolo, Luiz G. A. Martins
2025Evolutionary Adjustment of Probabilistic Models based on Cellular Automata applied to Fire Propagation.
Lucas V. Murilo, Luiz G. A. Martins
2025Evolutionary Asynchronous Optimization-A Novel Optimization Paradigm for Non-contact Voltage Measurement.
Ye Tian, Cheng He, Endi Cao, Yonglin He, Xingyi Zhang
2025Evolutionary Computation Applied to the Control of a Robotic Manipulator with Obstacle Avoidance.
Lázaro Pereira Vinaud Neto, Nicolas Carreiro Rodrigues, Bernardo Rodrigues Tameirão Santos, Eduardo do Valle Simões
2025Evolutionary Graph Fusion Architecture Search.
Aohan Mei, Nan Li, Tian Zhang, Lianbo Ma
2025Evolutionary Music Composition Using Tokenized Representation Based on Byte Pair Encoding.
Yu-Wei Wen, Yu-Liang Tang, Chuan-Kang Ting
2025Evolutionary Strategies with Dual Graph Reinforcement Learning for Flexible Job Shop Scheduling Problem.
Junwen Yang, Haoyu Wang, Jian Xiong
2025Experience-Driven Offline Knowledge Learning Framework for Evolutionary Algorithms.
Yu-Tang Hsu, Jia-He Tee, Chuan-Kang Ting
2025Exploring Parameter Influence on Empirical Drift Behavior for Variable-Metric Evolution Strategies.
Stephan Frank, Tobias Glasmachers
2025Extreme Learning Machine with Learnable Activation Functions for Machine Control.
Victor Parque, Alaa Khalifa
2025FLFSI: Feature-Level Image Fusion and Improved Swarm Intelligence Optimization Algorithm for Endometrial Detection in Contrast-Enhanced Ultrasound Imaging.
Zihao Zhang, Yongjun Liu, Zhengyu Li
2025Fairness-Constrained Multiple-Workflow Scheduling Through Stochastic Ranking.
Jiajian Yang, Jingyuan Xu, Peiru Li, Changwu Huang, Xin Yao
2025Feasible Regions Identification based on Historical Solutions for Constrained Optimization Problems.
Mengli Shan, Changhe Li, Mai Peng, Xiaobo Liu, Michalis Mavrovouniotis, Shengxiang Yang
2025Finding Multiple Alternate Solutions Using Evolutionary Multi-Objective Optimization.
Kalyanmoy Deb, Ritam Guha
2025Flexible Region Detection-based Genetic Programming for Fish Classification With Low-Quality Images.
Jigang Fan, Ying Bi, Bing Xue, Mengjie Zhang
2025From Manual to Automated Prompt Engineering: Evolving LLM Prompts with Genetic Algorithms.
Leandro A. Loss, Pratikkumar Dhuvad
2025GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-III.
Hao Li, Zhenyu Liang, Ran Cheng
2025Generative Model-Driven Large-Scale Dynamic Multi-Objective Evolutionary Optimization.
Chenyang Li, Gary G. Yen, Zhenan He
2025Genetic Programming Hyper-Heuristic for the Dynamic Electric Dial-a-Ride Problem.
William Huang, Yi Mei, Günther R. Raidl, Fangfang Zhang, Laurenz Tomandl, Steffen Limmer, Mengjie Zhang, Tobias Rodemann
2025Genetic Programming for High-Level Multi-Spectral Data Fusion in Fish Biochemical Analysis.
Yun Zhou, Gang Chen, Bing Xue, Mengjie Zhang, Jeremy S. Rooney, Keith C. Gordon, Daniel P. Killeen
2025Genetic Programming with Activity Group Selection for Dynamic Multi-mode Resource-Constrained Project Scheduling Problems.
Yuan Tian, Yi Mei, Mengjie Zhang
2025Gradient Descent Emerges via Natural Selection.
Ailun Shen
2025Grammar-based Evolutionary Approaches for Software Effort Estimation.
Márcio P. Basgalupp, Rodrigo C. Barros, Ricardo Cerri, Ferrante Neri, Péricles B. C. Miranda, Teresa Bernarda Ludermir
2025Heuristic Initialisation based on Graph Structures for Shortest Path Search on Multi-objective Multigraphs.
Songwei Liu, Lilla Beke, Jun Chen
2025Hierarchical Reinforcement Learning-Based Decision Generation for Beyond Visual Range Air Combat.
Peng Li, Chen Lang, Xiaoshuo Jia, Jingyu Ru, Hongli Xu
2025Homogeneous Architecture Augmentation and Confidence Prediction for Evolutionary Neural Architecture Search.
Pengcheng Jiang, Yu Xue, Ferrante Neri
2025IEEE Congress on Evolutionary Computation, CEC 2025, Hangzhou, China, June 8-12, 2025
2025Improved Competitive Swarm Optimizer with Linear Population Reduction for Large-scale Optimization.
Rui Zhong, Jun Yu, Xingbang Du, Enzhi Zhang, Abdelazim G. Hussien
2025Improved Differential Evolution with Mahalanobis Distance: IMPDE.
Ángel Casas-Ordaz, Mario A. Navarro-Velázquez, Arturo Valdivia, Diego Oliva, Jorge Ramos-Frutos
2025Improved Genetic Algorithm Using Reinforcement Learning to Solve the Re-entrant Flexible Flow Shop Scheduling Problem.
Xinzhuo Wang, Chang Liu, Rui Wang, Zhenghao Yu, Shengxiang Yang
2025Improved Jaya Algorithm for Solving No-Wait Distributed Scheduling Problems.
Yuxia Pan, Guang Xie
2025Improving Controllability of Chaotic Landscape Generators by Property Evolution.
Bo Zhang, Fengyang Sun, Lin Wang, Bo Yang
2025Integrating Active Learning for Improved Preference Modeling in Tree-Based Interactive Evolutionary Multi-Objective Algorithms.
Seyed Mahdi Shavarani, Mahmoud Golabi, Lhassane Idoumghar
2025Interactive Evolutionary Computation in the Latent Space of Deep Learning Models for Creative Game Content Generation.
Yu-Cheng Cheng, Yanan Wang, Yan Pei
2025Investigation of Decision Making with Scheduling Rules Learned via Genetic Programming for Dynamic Flexible Job Shop Scheduling.
Luyao Zhu, Fangfang Zhang, Yi Mei, Mengjie Zhang
2025Joint Attention Mechanism and Multi-task Learning for Weakly Supervised Skin Image Segmentation.
Yujianing Wang, Qiang Wang, Huijie Fan
2025LLM Based Bi-Level Online Order Dispatching and Scheduling for Large-Scale Earth Observation Satellites.
Hongxi Shi, Yonghao Du, Ziyang Zhang, Lei Li, Feiran Wang
2025LLM-Driven Customizable Fireworks Algorithm for Diverse Optimization Tasks.
Shipeng Cen, Ying Tan
2025LLM-Driven Neighborhood Search for Efficient Heuristic Design.
Zhuoliang Xie, Fei Liu, Zhenkun Wang, Qingfu Zhang
2025LW-MSTCNN: An Optimization Study on Integrating Multiscale Attention Mechanism with Deep Separable Convolutional Networks.
Yunjie Li, Pengfei Liu, Haitao Zhao, Haifeng Tang, Minxian Shen, Lingyao Wang
2025Large Language Model-Based Benchmarking Experiment Settings for Evolutionary Multi-Objective Optimization.
Lie Meng Pang, Hisao Ishibuchi
2025Large Language Models as Particle Swarm Optimizers.
Yamato Shinohara, Jinglue Xu, Tianshui Li, Hitoshi Iba
2025Learning the evaluation system for Chinese traditional music by evolution strategies.
Haotian Zhang, Xiaohong Guan, Nan Nan, Yixin Wang
2025Learning-Aided Evolutionary Algorithm to Solve Energy-Efficient Dynamic Task Scheduling Problems.
Hao Shi, Haoran Zhou, Zhiwen Miao, Chengran Lin
2025Learning-Driven Optimization with Integrated Multi-Model Approaches for Efficient Electric Vehicle Charging Scheduling.
Mahmoud Golabi, Abdennour Azerine, Ammar Oulamara, Lhassane Idoumghar
2025Learning-based Bi-level Multi-objective Optimization for Container Stowage Planning Problem.
Meihan Guo, Yun Dong
2025Leveraging Inter-Generational Knowledge Transfer in Large-Scale Global Optimization.
Yuefeng Xu, Rui Zhong, Chong Zhou, Chao Zhang, Jun Yu
2025Limitation of Adapting to Continuously Changing Optimization Problem and Its Solution in Swarm Optimization.
Shoei Fujita, Ryuki Ishizawa, Hiroyuki Sato, Keiki Takadama
2025MGO: A Multi-Granularity Optimization Algorithm Based on Granular-balls.
Bin Hou, Degang Chen, Guoyin Wang, Shuyin Xia
2025MMEATC: A Multimodal Multiobjective Evolutionary Algorithm with Three Clustering Mechanisms.
Wei Zheng, Zhifang Wei, Yang Chen, Mingming Yang
2025Masked Genetic Operators with Causal Grouping for Constrained Multi-Objective Optimization.
Zhaojun Wang, Jiachun Huang, Wenji Li, Shunge Wang, Yifeng Qiu, Biao Xu, Jiafan Zhuang, Zhifeng Hao, Zhun Fan
2025Matrix-Driven Adaptive Dual-Space Evolutionary Algorithm for Many-Task Optimization.
Yaxue Liu, Jingchuan Zhang, Xianpeng Wang
2025Memory-Enhanced Evolutionary Algorithm for Fast Multi- and Many-Objective Optimization.
Yicun Hua, Yang Jiang, Yuan Cao, Yan Xiao
2025Meta-MOGA: Meta-learning Multi-Objective Genetic Algorithm.
Tianyu Li, Kai Wu, Xiaobin Li, Xiangyi Teng, Jing Liu
2025Modified BBO-based Graph Convolutional Recurrent Neural Network for Emotion Recognition.
Yiwen Wang, Meiling Xu
2025Multi-Level Representation of Long MIDI Sequences: Integrating Bar-Level Encoding with Music-Level Context.
Yuelang Sun, Guan Wang, Weihua Li, Matthew Kuo, Quan Bai, Jianhua Jiang
2025Multi-Objective Evolutionary Neural Architecture Search for Material Microstructure Segmentation.
Kainan Zhang, Chang Liu
2025Multi-Task Optimisation-Based Yaw Control For Wind Farm Power Generation.
NagaSree Keerthi Pujari, A. K. Qin, Kishalay Mitra
2025Multi-objective Feature Weighting: A Dual Phase Evolutionary Approach for Cancer Classification.
Krishal Dhungana, Azam Asilian Bidgoli
2025Multi-objective Quantum-inspired Tabu Search Algorithm for Weighted Portfolio Model in Financial Optimization.
Yao-Hsin Chou, Yu-Chi Jiang, Ping-I Lin, Ru-Wei Tseng, Shu-Yu Kuo, Sy-Yen Kuo
2025Multi-objective optimization of flight schedules considering Constraint Tolerance based on Local Search and Archives.
Tomoki Ishizuka, Hiroyuki Sato, Keiki Takadama
2025Multi-start Optimization Method via Scalarization based on Target Point-based Tchebycheff Distance for Multi-objective Optimization.
Kota Nagakane, Masahiro Nomura, Isao Ono
2025Multimodal Image Classification Using Genetic Programming for Alzheimer's Disease Diagnosis.
Yuye Zhang, Fangfang Zhang, Bing Xue, Mengjie Zhang
2025Multimodal Multiobjective Optimization in the Charging Station Site Selection.
Caitong Yue, Lihong Cheng, Jing Liang, Kunjie Yu, Mengmeng Li
2025Multiobjective Clustering-Guided Multitasking for Diversified Sequential Recommendation.
Ruxin Wu, Wei Zhou, Junkai Ji, Sijun Peng, Siqin Peng, Zexuan Zhu
2025Multitask Knapsack Problems with Scalable Objective and Constraint Similarities: Behavioral Analysis of Evolutionary Multi-Factorial Algorithms.
Shio Kawakami, Keiki Takadama, Hiroyuki Sato
2025Multitree GP-Based Feature Learning for Multimodal Medical Image Classification.
Zhicheng Wu, Bing Xue, Mengjie Zhang
2025NetGP: A Hybrid Framework Combining Genetic Programming and Deep Reinforcement Learning for PDE Solutions.
Lulu Cao, Yinglan Feng, Min Jiang, Kay Chen Tan
2025Neural architecture search-based BP neural network for underwater glider motion parameter generation.
Hao Hu, Tao Wang, Yanan Li, Zhao Zhang, Xingguang Peng
2025Node Importance-Based Multi-Objective Genetic Programming for Enhanced Model Interpretability in Symbolic Regression.
Mohamad Rimas Mohamad Anfar, Qi Chen, Mengjie Zhang
2025On the Quality of Large Non-dominated Archives.
Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi
2025Optimal Distribution of Solutions for Crowding Distance on Linear Pareto Fronts of Two-Objective Optimization Problems.
Hisao Ishibuchi, Lie Meng Pang
2025Optimizing Blood Plasma Distribution in Blood Banks through Evolutionary Computation.
Mokgadi G. Makgopo, Olumuyiwa Otegbeye, Absalom E. Ezugwu, Diego Oliva
2025Optimizing Neural Network Loss Function with Surrogate-assisted Differential Evolution.
Eduard Morozov, Sergei Gorbunov, Vladimir Stanovov
2025Outperforming the Best with Minimal Effort: Algorithm Selection for Constrained Multi-objective Optimization.
Mustafa Misir, Aldy Gunawan
2025PGFormer: Prompt guide network for underwater image enhancement.
Xin Luan, Huijie Fan, Qiang Wang, Yu Guan, Yandong Tang
2025Performance Study of Surrogate-Assisted Large-Scale Multiobjective Evolutionary Algorithms on GLSMOP Test Suite.
Haoran Gu, Cheng He, Handing Wang
2025Physics-Informed Optimization via Ising Spin System Evolution.
Wujie Fu, Anupam Trivedi, Dipti Srinivasan, Aaron J. Danner
2025Population Initialization for Evolutionary Multi-objective Optimization: A Short Review.
Cheng Gong, Ping Guo, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi
2025Preference-Based Multi-Objective Genetic Programming for Energy-Efficient Dynamic Flexible Job Shop Scheduling.
Zhuoyin Qiao, Fangfang Zhang, Yi Mei, Mengjie Zhang
2025Progressive Surrogate Modeling for a Multi-objective Competitive Co-evolutionary (MoCCoEv) Wargame Strategy Optimization.
Ritam Guha, Ryan McKendrick, Bradley Feest, Kalyanmoy Deb
2025Q-A DE2: A Novel Approach for Solving Federated Learning Incentive Mechanisms Based on Stackelberg Game.
Chenyang Guo, Shengnan Zhao, Shiyue Qin
2025Q-Learning Driven Multi-objective Hybrid PSO for Distributed Heterogeneous Hybrid Flow-shop Scheduling Problem.
Wenqiang Zhang, Xuan Bao, Mingzhe Li, Xixi Li
2025Quantile normalization of optimization functions.
Yunpeng Jing, HaiLin Liu
2025Real-World Cardboard Production Optimization Using Multi-Objective Evolutionary Algorithms.
Iori Minakawa, Shio Kawakami, Hiroyuki Miyashita, Tsutomu Iida, Hiroyuki Sato
2025Research on Multi-Objective Multitasking Algorithm Based on Dimensional Importance Assessment and Knowledge Transfer.
Jing Yang, Chenyu Wang, Xingjuan Cai
2025Research on USV Encirclement and Confrontation Strategy Based on Shepherding Algorithm.
Kun Wang, Dongdong Yang, Dalei Song, Guoping Zhang
2025Research on bearing fault diagnosis based on secondary decomposition and stochastic configuration network.
Jialong Hu, Chuanzhi Zang
2025Robust Optimization Over Time by Integrating Reinforcement Learning and Particle Swarm Optimization.
Ching-Chi Lee, Yi-Ruei Chen, Chuan-Kang Ting
2025Semantic-aware Surrogate-assisted Genetic Programming for Feature Construction in Classification.
Jiayi Li, Jianbin Ma
2025Semantics-Driven Task Similarity in Multi-Task Genetic Programming for Multi-Output Symbolic Regression.
Chunyu Wang, Qi Chen, Bing Xue, Mengjie Zhang
2025Shape of Feasible Regions of Real-World Multi-Objective Problems.
Yang Nan, Hisao Ishibuchi, Tianye Shu
2025Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms.
Eneko Osaba, Pablo Miranda-Rodriguez, Andreas Oikonomakis, Matic Petric, Alejandra Ruiz, Sebastian Bock, Michail-Alexandros Kourtis
2025Solving Multimodal Multi-objective Optimization Problems in Limited Time.
Fei Ming, Bing Xue, Wenyin Gong, Mengjie Zhang
2025Surrogate Models are not Necessary for Black-Box Expensive Optimization.
Hongxiang Geng, Ye Tian, Shangshang Yang, Xingyi Zhang, Cheng He
2025Surrogate-Assisted Evolutionary Neural Architecture Search with Architecture Knowledge Transfer.
Peng Liao, Xilu Wang, Yaochu Jin, Chaoli Sun, Wenli Du
2025Task Representation in Optimization: Utilizing Image Modalities for Effective Comparison.
Zijian Jiang, Qiqi Liu, Yaochu Jin, Jiaqiang Li
2025Temporal Image Sequence Fusion with PSO-Optimised CNN Transfer Learning for Plant Temporal State Categorisation.
Seyed Jalaleddin Mousavirad, Irida Shallari, Mattias O'Nils
2025The Dual-Focus Dynamic Multiple Imputation Approach For MNAR Missing Values In Medical Data.
Yuejing Zhai, Yiping Li, Huijie Li, Wuman Luo
2025Tracing the Interactions of Modular CMA-ES Configurations Across Problem Landscapes.
Ana Nikolikj, Mario Andrés Muñoz, Eva Tuba, Tome Eftimov
2025Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks.
Shuaiqun Pan, Diederick Vermetten, Manuel López-Ibáñez, Thomas Bäck, Hao Wang
2025U-Shaped Network Based on Particle Swarm Optimization for Retinal Vessel Segmentation.
Junjie Yao, Guijie Zhu, Jiafan Zhuang, Zhifeng Hao, Wenji Li, Zhun Fan
2025Using the Local Auxiliary Population to Balance the Convergence and Constraints in Constrained Multimodal Multi-objective Optimization.
Zhipan Li, Huigui Rong
2025Variable Range-based Interaction Preference Multi-objective Optimization Algorithm through Objective Decomposition.
Junwei Ma, Jianxia Li, Ruochen Liu, Jianyong Zhai, Li Gao
2025Weighted-Scenario Optimisation for the Chance Constrained Travelling Thief Problem.
Thilina Pathirage Don, Aneta Neumann, Frank Neumann