Liang Feng

206 papers A* 6A 4B 40C 4Misc 3Journal 127Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multi-stage bidirectional sampling competitive swarm optimization algorithm for solving large-scale multi-objective optimization problem.
Expert Syst. Appl.
Qingxia Shang, Ke Chen, Bin Qian, Wei Zhou, Rong Hu, Liang Feng
2026 J jnl
Autonomous Multiobjective Optimization Using Large Language Model.
IEEE Trans. Evol. Comput.
Yuxiao Huang, Shenghao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan
2026 J jnl
Enhancing Reinforcement Learning With Cross-Domain Knowledge Transfer via Seeded Graph Matching.
IEEE Trans. Neural Networks Learn. Syst.
Gengzhi Zhang, Liang Feng, Xuefeng Chen, Ke Tang, Kay Chen Tan
2026 J jnl
Fast heuristic search algorithms for submodular cost submodular cover under routing constraints.
Expert Syst. Appl.
Miao Yu, Xuefeng Chen, Shuang Liu, Liang Feng, Xin Cao, Zexuan Zhu
2026 J jnl
Fine-Grained Model Merging via Modular Expert Recombination.
CoRR
Haiyun Qiu, Xingyu Wu, Liang Feng, Kay Chen Tan
2025 J jnl
A Data-Driven Intelligent System for Mobile Detection of Infrastructure Construction Quality.
IEEE Trans. Instrum. Meas.
Yu Wang, Zhou Wu, Hongtuo Qi, Liang Feng, Jiepeng Liu
2025 J jnl
A Scalable Test Problem Generator for Sequential Transfer Optimization.
IEEE Trans. Cybern.
Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2025 B conf
A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization.
CEC
Xiaoming Xue, Liang Feng, Yinglan Feng, Rui Liu, Kai Zhang, Kay Chen Tan
2025 J jnl
A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization.
CoRR
Xiaoming Xue, Liang Feng, Yinglan Feng, Rui Liu, Kai Zhang, Kay Chen Tan
2025 J jnl
A multi-stage competitive swarm optimization algorithm for solving large-scale multi-objective optimization problems.
Expert Syst. Appl.
Qingxia Shang, Minzhong Tan, Rong Hu, Yuxiao Huang, Bin Qian, Liang Feng
2025 J jnl
A relation learning-assisted algorithm with knee point transfer for expensive dynamic multi-objective optimization.
Swarm Evol. Comput.
Xinyu Xue, Ziqi Cheng, Xuefeng Chen, Liang Feng
2025 A* conf
Design Principle Transfer in Neural Architecture Search via Large Language Models.
AAAI
Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan
2025 J jnl
Evaluation of Large Language Models as Solution Generators in Complex Optimization.
IEEE Comput. Intell. Mag.
Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
2025 J jnl
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap.
IEEE Trans. Evol. Comput.
Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2025 J jnl
Evolutionary Multitask Optimization With Lower Confidence Bound-Based Solution Selection Strategy.
IEEE Trans. Evol. Comput.
Zhenzhong Wang, Lulu Cao, Liang Feng, Min Jiang, Kay Chen Tan
2025 J jnl
Free Scale 2D-3D Regional Retrieval Based on Cross Modal Information Fusion.
IEEE Trans. Ind. Informatics
Zhou Wu, Yu Wang, Hongtuo Qi, Liang Feng, Jiepeng Liu
2025 J jnl
Guest Editorial: Advancing Computational Intelligence in Autonomous Learning and Optimization Systems [Guest Editorial].
IEEE Comput. Intell. Mag.
Yaqing Hou, Liang Feng, Yi Mei
2025 J jnl
LLM-Powered Interactive Graph Search: A Scalable and Practical Approach.
Proc. ACM Manag. Data
Han Linghu, Qianhao Cong, Yuming Huang, Shangqi Lu, Liang Feng, Jing Tang
2025 J jnl
Learning to Transfer for Evolutionary Multitasking.
IEEE Trans. Cybern.
Sheng-Hao Wu, Yuxiao Huang, Xingyu Wu, Liang Feng, Zhi-Hui Zhan, Kay Chen Tan
2025 J jnl
Multiform Genetic Programming Framework for Symbolic Regression Problems.
IEEE Trans. Evol. Comput.
Jinghui Zhong, Junlan Dong, Wei-Li Liu, Liang Feng, Jun Zhang
2025 A* conf
OptiBench Meets ReSocratic: Measure and Improve LLMs for Optimization Modeling.
ICLR
Zhicheng Yang, Yiwei Wang, Yinya Huang, Zhijiang Guo, Wei Shi, Xiongwei Han, Liang Feng, Linqi Song, Xiaodan Liang, Jing Tang
2025 J jnl
Surrogate-Assisted Search With Competitive Knowledge Transfer for Expensive Optimization.
IEEE Trans. Evol. Comput.
Xiaoming Xue, Yao Hu, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2025 J jnl
TEC-CNN: Toward Efficient Compressing of Convolutional Neural Nets with Low-rank Tensor Decomposition.
ACM Trans. Multim. Comput. Commun. Appl.
Yifan Wang, Liang Feng, Fenglin Cai, Lusi Li, Rui Wu, Jie Li
2025 A* conf
Towards Robustness and Explainability of Automatic Algorithm Selection.
ICML
Xingyu Wu, Jibin Wu, Yu Zhou, Liang Feng, Kc Tan
2024 J jnl
A Multiform Evolutionary Search Paradigm for Bilevel Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Yinglan Feng, Liang Feng, Sam Kwong, Kay Chen Tan
2024 B conf
A Review on Evolutionary Multiform Transfer Optimization.
CEC
Yinglan Feng, Liang Feng, Xiaoming Xue, Sam Kwong, Kay Chen Tan
2024 J jnl
A Twin Learning Framework for Traveling Salesman Problem Based on Autoencoder, Graph Filter, and Transfer Learning.
IEEE Trans. Consumer Electron.
Junjun Wu, Hanshi Yang, Yan Zeng, Zhou Wu, Jiepeng Liu, Liang Feng
2024 J jnl
Advancing Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models.
CoRR
Yuxiao Huang, Xuebin Lv, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2024 — conf
AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations.
EMNLP (Findings)
Zhicheng Yang, Yinya Huang, Jing Xiong, Liang Feng, Xiaodan Liang, Yiwei Wang, Jing Tang
2024 J jnl
Benchmarking LLMs for Optimization Modeling and Enhancing Reasoning via Reverse Socratic Synthesis.
CoRR
Zhicheng Yang, Yinya Huang, Wei Shi, Liang Feng, Linqi Song, Yiwei Wang, Xiaodan Liang, Jing Tang
2024 J jnl
Budgeted Sequence Submodular Maximization With Uniform and Non-Uniform Costs.
IEEE Trans. Emerg. Top. Comput. Intell.
Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou, Zhi Zhang
2024 J jnl
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models.
CoRR
Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan
2024 J jnl
Corrections to "Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation".
IEEE Trans. Cybern.
Lei Zhou, Liang Feng, Kay Chen Tan, Jinghui Zhong, Zexuan Zhu, Kai Liu, Chao Chen
2024 J jnl
Design Principle Transfer in Neural Architecture Search via Large Language Models.
CoRR
Xun Zhou, Liang Feng, Xingyu Wu, Zhichao Lu, Kay Chen Tan
2024 J jnl
Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking.
IEEE Trans. Evol. Comput.
Wu Lin, Qiuzhen Lin, Liang Feng, Kay Chen Tan
2024 J jnl
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap.
CoRR
Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2024 J jnl
Evolutionary Multitasking With Centralized Learning for Large-Scale Combinatorial Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Yuxiao Huang, Wei Zhou, Yu Wang, Min Li, Liang Feng, Kay Chen Tan
2024 J jnl
Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models.
CoRR
Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
2024 J jnl
HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models.
CoRR
Yu Zhou, Xingyu Wu, Jibin Wu, Liang Feng, Kay Chen Tan
2024 J jnl
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems.
CoRR
Yuxiao Huang, Wenjie Zhang, Liang Feng, Xingyu Wu, Kay Chen Tan
2024 J jnl
Learning to Transfer for Evolutionary Multitasking.
CoRR
Sheng-Hao Wu, Yuxiao Huang, Xingyu Wu, Liang Feng, Zhi-Hui Zhan, Kay Chen Tan
2024 B conf
Multiobjective Sequential Transfer Optimization: Benchmark Problems and Preliminary Results.
CEC
Xiaoming Xue, Liang Feng, Cuie Yang, Songbai Liu, Linqi Song, Kay Chen Tan
2024 J jnl
Q-learning with heterogeneous update strategy.
Inf. Sci.
Tao Tan, Hong Xie, Liang Feng
2024 J jnl
Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems.
IEEE Trans. Emerg. Top. Comput. Intell.
Gengzhi Zhang, Liang Feng, Yu Wang, Min Li, Hong Xie, Kay Chen Tan
2024 B conf
Self-Attention Guided Advice Distillation in Multi-Agent Deep Reinforcement Learning.
IJCNN
Yang Li, Sihan Zhou, Yaqing Hou, Liran Zhou, Hongwei Ge, Liang Feng, Siyu Wang
2024 J jnl
Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer.
IEEE Trans. Evol. Comput.
Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2024 J jnl
Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning.
IEEE Trans. Cybern.
Huan Zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li
2024 J jnl
Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization.
CoRR
Xiaoming Xue, Yao Hu, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2024 J jnl
Toward Evolutionary Multitask Convolutional Neural Architecture Search.
IEEE Trans. Evol. Comput.
Xun Zhou, Zhenkun Wang, Liang Feng, Songbai Liu, Ka-Chun Wong, Kay Chen Tan
2024 J jnl
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking.
CoRR
Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan
2024 J jnl
Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators.
CoRR
Yuxiao Huang, Sheng-Hao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan
2024 J jnl
Towards multi-objective high-dimensional feature selection via evolutionary multitasking.
Swarm Evol. Comput.
Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan
2023 J jnl
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design.
IEEE Trans. Neural Networks Learn. Syst.
Junwei Dong, Boyu Hou, Liang Feng, Huajin Tang, Kay Chen Tan, Yew-Soon Ong
2023 J jnl
A Scalable Test Problem Generator for Sequential Transfer Optimization.
CoRR
Xiaoming Xue, Cuie Yang, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2023 — conf
A Twin Learning Evolutionary Algorithm for Capacitated Vehicle Routing Problem.
NCAA (1)
Hanshi Yang, Xin Zhang, Liang Feng, Zhou Wu, Choujun Zhan
2023 J jnl
Automated clash resolution for reinforcement steel design in precast concrete wall panels via generative adversarial network and reinforcement learning.
Adv. Eng. Informatics
Pengkun Liu, Hongtuo Qi, Jiepeng Liu, Liang Feng, Dongsheng Li, Jingjing Guo
2023 Misc conf
Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation.
ICASSP
Xiaoqing Chen, Chengyu Wang, Junwei Dong, Minghui Qiu, Liang Feng, Jun Huang
2023 J jnl
Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation.
IEEE Trans. Emerg. Top. Comput. Intell.
Wei Zhou, Yong Liu, Min Li, Yu Wang, Zhiqi Shen, Liang Feng, Zexuan Zhu
2023 J jnl
Evolutionary Multitasking for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Songbai Liu, Qiuzhen Lin, Liang Feng, Ka-Chun Wong, Kay Chen Tan
2023 J jnl
Fast Vehicle Routing via Knowledge Transfer in a Reproducing Kernel Hilbert Space.
IEEE Trans. Syst. Man Cybern. Syst.
Yuxiao Huang, Liang Feng, Min Li, Yu Wang, Zexuan Zhu, Kay Chen Tan
2023 J jnl
Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial].
IEEE Comput. Intell. Mag.
Xingyi Zhang, Ran Cheng, Liang Feng, Yaochu Jin
2023 J jnl
Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems.
IEEE Trans. Artif. Intell.
Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong
2023 Misc conf
Prompt-Distiller: Few-Shot Knowledge Distillation for Prompt-Based Language Learners with Dual Contrastive Learning.
ICASSP
Boyu Hou, Chengyu Wang, Xiaoqing Chen, Minghui Qiu, Liang Feng, Jun Huang
2023 J jnl
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning.
CoRR
Huan Zhang, Jinliang Ding, Liang Feng, Kay Chen Tan, Ke Li
2023 B conf
Surrogate-Assisted Morphology Optimization by Genetic Algorithms.
CEC
Jinlin Jiang, Yongchao Chen, Wenbin Pei, Junxiang Zhang, Yaqing Hou, Hongwei Ge, Liang Feng
2023 B conf
Two-stage Neural Architecture Optimization with Separated Training and Search.
IJCNN
Longze He, Boyu Hou, Junwei Dong, Liang Feng
2022 J jnl
A Cooperative Coevolution Hyper-Heuristic Framework for Workflow Scheduling Problem.
IEEE Trans. Serv. Comput.
Qin-zhe Xiao, Jinghui Zhong, Liang Feng, Linbo Luo, Jianming Lv
2022 J jnl
A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Yinglan Feng, Liang Feng, Sam Kwong, Kay Chen Tan
2022 J jnl
Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems.
IEEE Trans. Cybern.
Xiaoming Xue, Kai Zhang, Kay Chen Tan, Liang Feng, Jian Wang, Guodong Chen, Xinggang Zhao, Liming Zhang, Jun Yao
2022 B conf
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism.
CEC
Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan
2022 J jnl
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism.
CoRR
Haokai Hong, Min Jiang, Liang Feng, Qiuzhen Lin, Kay Chen Tan
2022 A* conf
Budgeted Sequence Submodular Maximization.
IJCAI
Xuefeng Chen, Liang Feng, Xin Cao, Yifeng Zeng, Yaqing Hou
2022 — conf
Comparison Analysis on Techniques of Preprocessing Imbalanced Data for Symbolic Regression.
ChineseCSCW (2)
Cuixin Ma, Wei-Li Liu, Jinghui Zhong, Liang Feng
2022 A* conf
Constrained Path Search with Submodular Function Maximization.
ICDE
Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng
2022 J jnl
Evolutionary Search With Multiview Prediction for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Wei Zhou, Liang Feng, Kay Chen Tan, Min Jiang, Yong Liu
2022 J jnl
Mining Implicit Equations From Data Using Gene Expression Programming.
IEEE Trans. Emerg. Top. Comput.
Jinghui Zhong, Jiaquan Yang, Yongliang Chen, Wei-Li Liu, Liang Feng
2022 J jnl
Multi-space evolutionary search with dynamic resource allocation strategy for large-scale optimization.
Neural Comput. Appl.
Qingxia Shang, Yuxiao Huang, Junwei Dong, Yaqing Hou, Yu Wang, Min Li, Liang Feng
2022 J jnl
Network Rebalance and Operational Efficiency of Sharing Transportation System: Multi-Objective Optimization and Model Predictive Control Approaches.
IEEE Trans. Intell. Transp. Syst.
Zhou Wu, Junjun Wu, Yuguang Chen, Kai Liu, Liang Feng
2022 J jnl
Resource Provision and Allocation Based on Microeconomic Theory in Mobile Edge Computing.
IEEE Trans. Serv. Comput.
Jiadi Liu, Songtao Guo, Kai Liu, Liang Feng
2022 J jnl
Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search.
IEEE Trans. Cybern.
Liang Feng, Wei Zhou, Weichen Liu, Yew-Soon Ong, Kay Chen Tan
2022 J jnl
Solving vehicle routing problem by memetic search with evolutionary multitasking.
Memetic Comput.
Qingxia Shang, Yuxiao Huang, Yu Wang, Min Li, Liang Feng
2022 J jnl
Toward Large-Scale Evolutionary Multitasking: A GPU-Based Paradigm.
IEEE Trans. Evol. Comput.
Yuxiao Huang, Liang Feng, Alex Kai Qin, Meng Chen, Kay Chen Tan
2022 J jnl
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation.
IEEE Trans. Intell. Transp. Syst.
Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong
2022 — conf
UAV-Assisted Blind Area Pedestrian Detection via Terminal-Edge-Cloud Cooperation in VANETs.
NCAA (2)
Qisen Zhang, Kai Liu, Luyao Jiang, Chengliang Zhong, Liang Feng, Hao Zhang, Ke Xiao
2021 J jnl
2TD Path-Planner: Towards a More Realistic Path Planning System over Two-Fold Time-Dependent Road Networks [Application Notes].
IEEE Comput. Intell. Mag.
Chao Chen, Liping Gao, Xuefeng Xie, Liang Feng, Yasha Wang
2021 C conf
A Study on Realtime Task Selection Based on Credit Information Updating in Evolutionary Multitasking.
EMO
Yumeng Cao, Yaqing Hou, Liang Feng, Hongwei Ge, Qiang Zhang, Xiaopeng Wei
2021 J jnl
A study on multiform multi-objective evolutionary optimization.
Memetic Comput.
Liangjie Zhang, Yuling Xie, Jianjun Chen, Liang Feng, Chao Chen, Kai Liu
2021 J jnl
Automatic modeling of prefabricated components with laser-scanned data for virtual trial assembly.
Comput. Aided Civ. Infrastructure Eng.
Dongsheng Li, Jiepeng Liu, Liang Feng, Yang Zhou, Hongtuo Qi, Y. Frank Chen
2021 J jnl
Cooperative coding and caching scheduling via binary particle swarm optimization in software-defined vehicular networks.
Neural Comput. Appl.
Ke Xiao, Kai Liu, Xincao Xu, Liang Feng, Zhou Wu, Qiangwei Zhao
2021 B conf
EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding.
CEC
Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan, Sam Kwong
2021 — conf
Efficient Two-Stage Evolutionary Search of Convolutional Neural Architectures Based on Cell Independence Analysis.
ICONIP (5)
Boyu Hou, Junwei Dong, Liang Feng, Minghui Qiu
2021 J jnl
Efficient fog-assisted heterogeneous data services in software defined VANETs.
J. Ambient Intell. Humaniz. Comput.
Ke Xiao, Kai Liu, Xincao Xu, Yi Zhou, Liang Feng
2021 B conf
Evolutionary Multitasking for Cross-domain Task Optimization via Vehicular Edge Computing.
GLOBECOM
Dong Wang, Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Songtao Guo
2021 B conf
Evolutionary Multitasking via Artificial Neural Networks.
SMC
Xia Chen, Yuxiao Huang, Wei Zhou, Liang Feng
2021 J jnl
Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research.
IEEE Comput. Intell. Mag.
Kay Chen Tan, Liang Feng, Min Jiang
2021 J jnl
Explicit Evolutionary Multitasking for Combinatorial Optimization: A Case Study on Capacitated Vehicle Routing Problem.
IEEE Trans. Cybern.
Liang Feng, Yuxiao Huang, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Ke Tang, Kay Chen Tan
2021 J jnl
Guest Editorial: Special issue on memetic algorithms with learning strategy.
Memetic Comput.
Ling Wang, Liang Feng
2021 — conf
Integrating Policy Reuse with Learning from Demonstrations for Knowledge Transfer in Deep Reinforcement Learning.
ICONIP (5)
Pei Yao, Liang Feng
2021 J jnl
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding.
IEEE Trans. Evol. Comput.
Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong
2021 J jnl
Multi-Space Evolutionary Search for Large-Scale Optimization.
CoRR
Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong
2021 C conf
Multi-task Actor-Critic with Knowledge Transfer via a Shared Critic.
ACML
Gengzhi Zhang, Liang Feng, Yaqing Hou
2021 J jnl
Non-linear Domain Adaptation in Transfer Evolutionary Optimization.
Cogn. Comput.
Ray Lim, Abhishek Gupta, Yew-Soon Ong, Liang Feng, Allan N. Zhang
2021 — conf
Pheromone Based Independent Reinforcement Learning for Multiagent Navigation.
NCAA
Kaige Zhang, Yaqing Hou, Hua Yu, Wenxuan Zhu, Liang Feng, Qiang Zhang
2021 J jnl
Solving Generalized Vehicle Routing Problem With Occasional Drivers via Evolutionary Multitasking.
IEEE Trans. Cybern.
Liang Feng, Lei Zhou, Abhishek Gupta, Jinghui Zhong, Zexuan Zhu, Kay Chen Tan, Alex Kai Qin
2021 J jnl
Surrogate-Assisted Evolutionary Multitasking for Expensive Minimax Optimization in Multiple Scenarios.
IEEE Comput. Intell. Mag.
Handing Wang, Liang Feng, Yaochu Jin, John Doherty
2021 J jnl
Toward Adaptive Knowledge Transfer in Multifactorial Evolutionary Computation.
IEEE Trans. Cybern.
Lei Zhou, Liang Feng, Kay Chen Tan, Jinghui Zhong, Zexuan Zhu, Kai Liu, Chao Chen
2021 J jnl
Two-layered ant colony system to improve engraving robot's efficiency based on a large-scale TSP model.
Neural Comput. Appl.
Zhou Wu, Junjun Wu, Mingbo Zhao, Liang Feng, Kai Liu
2021 J jnl
[Guest Editorial].
IEEE Comput. Intell. Mag.
Liang Feng, Handing Wang, Yew-Soon Ong, Kay Chen Tan, Yaochu Jin
2020 — conf
A Memetic Algorithm for Evolving Deep Convolutional Neural Network in Image Classification.
SSCI
Junwei Dong, Liangjie Zhang, Boyu Hou, Liang Feng
2020 B conf
A Preliminary Study of Fusion ARTs with Adaptively Information Intensity Attenuation Controlling.
IJCNN
Wenxuan Zhu, Yaqing Hou, Qiang Zhang, Hongwei Ge, Xin Yang, Liang Feng, Xinghua Qu
2020 B conf
A Preliminary Study of Improving Evolutionary Multi-Objective Optimization via Knowledge Transfer from Single-Objective Problems.
SMC
Lingyu Huang, Liang Feng, Handing Wang, Yaqing Hou, Kai Liu, Chao Chen
2020 J jnl
A fast parallel genetic programming framework with adaptively weighted primitives for symbolic regression.
Soft Comput.
Zhixing Huang, Jinghui Zhong, Liang Feng, Yi Mei, Wentong Cai
2020 J jnl
A hyper-heuristic framework for lifetime maximization in wireless sensor networks with a mobile sink.
IEEE CAA J. Autom. Sinica
Jinghui Zhong, Zhixing Huang, Liang Feng, Wan Du, Ying Li
2020 J jnl
A scalable indoor localization algorithm based on distance fitting and fingerprint mapping in Wi-Fi environments.
Neural Comput. Appl.
Hao Zhang, Kai Liu, Feiyu Jin, Liang Feng, Victor C. S. Lee, Joseph Kee-Yin Ng
2020 J jnl
An Adaptive Archive-Based Evolutionary Framework for Many-Task Optimization.
IEEE Trans. Emerg. Top. Comput. Intell.
Yongliang Chen, Jinghui Zhong, Liang Feng, Jun Zhang
2020 J jnl
Ant Colony System With Sorting-Based Local Search for Coverage-Based Test Case Prioritization.
IEEE Trans. Reliab.
Chengyu Lu, Jinghui Zhong, Yinxing Xue, Liang Feng, Jun Zhang
2020 B conf
Comparison of Different Computing Platforms for Implementing Parallel Genetic Programming.
CEC
Ruihua Zeng, Zhixing Huang, Yongliang Chen, Jinghui Zhong, Liang Feng
2020 J jnl
Decentralized Caching Framework Toward Edge Network Based on Blockchain.
IEEE Internet Things J.
Jiadi Liu, Songtao Guo, Yawei Shi, Liang Feng, Cong Wang
2020 B conf
FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications.
FPL
Jieru Zhao, Tingyuan Liang, Liang Feng, Wenchao Ding, Sharad Sinha, Wei Zhang, Shaojie Shen
2020 J jnl
FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications.
CoRR
Jieru Zhao, Tingyuan Liang, Liang Feng, Wenchao Ding, Sharad Sinha, Wei Zhang, Shaojie Shen
2020 B conf
Large-Scale optimization via Evolutionary Multitasking assisted Random Embedding.
CEC
Yinglan Feng, Liang Feng, Yaqing Hou, Kay Chen Tan
2020 J jnl
Multi-factorial Optimization for Large-scale Virtual Machine Placement in Cloud Computing.
CoRR
Zhengping Liang, Jian Zhang, Liang Feng, Zexuan Zhu
2020 — conf
Multi-period Distributed Delay-Sensitive Tasks Offloading in a Two-Layer Vehicular Fog Computing Architecture.
NCAA
Yi Zhou, Kai Liu, Xincao Xu, Chunhui Liu, Liang Feng, Chao Chen
2020 J jnl
Multi-reservoir echo state computing for solar irradiance prediction: A fast yet efficient deep learning approach.
Appl. Soft Comput.
Qian Li, Zhou Wu, Rui Ling, Liang Feng, Kai Liu
2020 J jnl
Multifactorial Genetic Programming for Symbolic Regression Problems.
IEEE Trans. Syst. Man Cybern. Syst.
Jinghui Zhong, Liang Feng, Wentong Cai, Yew-Soon Ong
2020 J jnl
Performance Modeling and Directives Optimization for High-Level Synthesis on FPGA.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He
2020 C conf
Point Cloud Simplification based on Decomposed Graph Filtering.
INDIN
Yan Zeng, Zhou Wu, Jiepeng Liu, Liang Feng
2020 J jnl
Scalable Light-Weight Integration of FPGA Based Accelerators with Chip Multi-Processors.
CoRR
Zhe Lin, Sharad Sinha, Hao Liang, Liang Feng, Wei Zhang
2020 B conf
Tracking Moving Optima of Dynamic Multi-objective Problem via Prediction in Objective Space.
CEC
Wei Zhou, Liang Feng, Zexuan Zhu, Kai Liu, Chao Chen, Zhou Wu
2020 J jnl
TrajCompressor: An Online Map-matching-based Trajectory Compression Framework Leveraging Vehicle Heading Direction and Change.
IEEE Trans. Intell. Transp. Syst.
Chao Chen, Yan Ding, Xuefeng Xie, Shu Zhang, Zhu Wang, Liang Feng
2020 J jnl
Vehicular Fog Computing Enabled Real-Time Collision Warning via Trajectory Calibration.
Mob. Networks Appl.
Xincao Xu, Kai Liu, Ke Xiao, Liang Feng, Zhou Wu, Songtao Guo
2020 J jnl
Vehicular Fog Computing Enabled Real-time Collision Warning via Trajectory Calibration.
CoRR
Xincao Xu, Kai Liu, Ke Xiao, Liang Feng, Zhou Wu, Songtao Guo
2019 B conf
A Co-evolutionary Cartesian Genetic Programming with Adaptive Knowledge Transfer.
CEC
Jinghui Zhong, Linhao Li, Weili Liu, Liang Feng, Xiao-Min Hu
2019 B conf
A Fog Computing Paradigm for Efficient Information Services in VANET.
WCNC
Ke Xiao, Kai Liu, Junhua Wang, Yanning Yang, Liang Feng, Jingjing Cao, Victor C. S. Lee
2019 A conf
A Hybrid Data-Consistent Framework for Link-Aware AccessManagement in Emerging CPU-FPGA Platforms.
FPGA
Liang Feng, Jieru Zhao, Tingyuan Liang, Sharad Sinha, Wei Zhang
2019 B conf
A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking.
CEC
Qingxia Shang, L. Zhang, Liang Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu
2019 J jnl
A hybrid of genetic transform and hyper-rectangle search strategies for evolutionary multi-tasking.
Expert Syst. Appl.
Zhengping Liang, Jian Zhang, Liang Feng, Zexuan Zhu
2019 — conf
Automated Clash Free Rebar Design in Precast Concrete Exterior Wall via Generative Adversarial Network and Multi-agent Reinforcement Learning.
AHFE (14)
Pengkun Liu, Jiepeng Liu, Liang Feng, Wenbo Wu, Hao Lan
2019 J jnl
Compressed representation for higher-level meme space evolution: a case study on big knapsack problems.
Memetic Comput.
Liang Feng, Abhishek Gupta, Yew-Soon Ong
2019 B conf
Dual-Band Wi-Fi Based Indoor Localization via Stacked Denosing Autoencoder.
GLOBECOM
Hao Zhang, Kai Liu, Qingxia Shang, Liang Feng, Chao Chen, Zhou Wu, Songtao Guo
2019 — conf
Enabling Safety-Critical and Computation-Intensive IoV Applications via Vehicular Fog Computing.
MSN
Chunhui Liu, Kai Liu, Hualing Ren, Yi Zhou, Liang Feng, Songtao Guo, Victor Lee
2019 J jnl
Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning.
CoRR
Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan
2019 — conf
Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning.
SSCI
Zhenzhong Wang, Min Jiang, Xing Gao, Liang Feng, Weizhen Hu, Kay Chen Tan
2019 J jnl
Evolutionary Multitasking via Explicit Autoencoding.
IEEE Trans. Cybern.
Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, A. K. Qin
2019 J jnl
Fast transfer Gaussian process regression with large-scale sources.
Knowl. Based Syst.
Bingshui Da, Yew-Soon Ong, Abhishek Gupta, Liang Feng, Haitao Liu
2019 A conf
Hi-ClockFlow: Multi-Clock Dataflow Automation and Throughput Optimization in High-Level Synthesis.
ICCAD
Tingyuan Liang, Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang
2019 B conf
Improving Reinforcement FALCON Learning in Complex Environment with Much Delayed Evaluation via Memetic Automaton.
CEC
Gengzhi Zhang, Liang Feng, Yuling Xie, Zhou Wu, Lin Chen
2019 A* conf
LAMA: Link-Aware Hybrid Management for Memory Accesses in Emerging CPU-FPGA Platforms.
DAC
Liang Feng, Jieru Zhao, Tingyuan Liang, Sharad Sinha, Wei Zhang
2019 — conf
Real-Time Detection and Tracking Using Hybrid DNNs and Space-Aware Color Feature: From Algorithm to System.
ACPR (1)
Liang Feng, Hiroaki Igarashi, Seiya Shibata, Yuki Kobayashi, Takashi Takenaka, Wei Zhang
2019 J jnl
Temporal Information Services in Large-Scale Vehicular Networks Through Evolutionary Multi-Objective Optimization.
IEEE Trans. Intell. Transp. Syst.
Penglin Dai, Kai Liu, Liang Feng, Haijun Zhang, Victor Chung Sing Lee, Sang Hyuk Son, Xiao Wu
2019 J jnl
Towards Automatic Segmentation and Recognition of Multiple Precast Concrete Elements in Outdoor Laser Scan Data.
Remote. Sens.
Jiepeng Liu, Dongsheng Li, Liang Feng, Pengkun Liu, Wenbo Wu
2019 B conf
Towards Effective Mutation for Knowledge Transfer in Multifactorial Differential Evolution.
CEC
Lei Zhou, Liang Feng, Kai Liu, Chao Chen, Shaojiang Deng, Tao Xiang, Siwei Jiang
2019 — conf
Where to Build New Public Toilets? Multi-Source Urban Data Tell the Truth.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Chaoxiong Chen, Yuyang Liu, Chengwu Liao, Chao Chen, Liang Feng, Zhu Wang
2018 B conf
A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding.
CEC
Wei Zhou, Liang Feng, Siwei Jiang, Shu Zhang, Yaqing Hou, Yew-Soon Ong, Zexuan Zhu, Kai Liu
2018 — conf
A study of similarity measure between tasks for multifactorial evolutionary algorithm.
GECCO (Companion)
Lei Zhou, Liang Feng, Jinghui Zhong, Zexuan Zhu, Bingshui Da, Zhou Wu
2018 — conf
An Annulus Local Search Based Localization (ALSL) Algorithm in Indoor Wi-Fi Environments.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Hao Zhang, Kai Liu, Feiyu Jin, Chao Chen, Chen Zhan, Jianjun Li, Liang Feng
2018 B conf
An Online Trajectory Compression System Applied to Resource-Constrained GPS Devices in Vehicles.
SECON
Yan Ding, Chao Chen, Xuefeng Xie, Kai Liu, Liang Feng
2018 — conf
Automated Optimization of Longitudinal Tensile Reinforcement in RC Beam Using Binary PSO Algorithm.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Zhou Wu, Nian Ao, Chengran Xu, Liang Feng, Jiepeng Liu
2018 Misc conf
CAMAS: Static and Dynamic Hybrid Cache Management for CPU-FPGA Platforms.
FCCM
Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang
2018 J jnl
Coding-Assisted Broadcast Scheduling via Memetic Computing in SDN-Based Vehicular Networks.
IEEE Trans. Intell. Transp. Syst.
Kai Liu, Liang Feng, Penglin Dai, Victor C. S. Lee, Sang Hyuk Son, Jiannong Cao
2018 J jnl
Hi-DMM: High-Performance Dynamic Memory Management in High-Level Synthesis.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Tingyuan Liang, Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang
2018 J jnl
Insights on Transfer Optimization: Because Experience is the Best Teacher.
IEEE Trans. Emerg. Top. Comput. Intell.
Abhishek Gupta, Yew-Soon Ong, Liang Feng
2018 J jnl
Scalable Light-Weight Integration of FPGA Based Accelerators with Chip Multi-Processors.
IEEE Trans. Multi Scale Comput. Syst.
Zhe Lin, Sharad Sinha, Hao Liang, Liang Feng, Wei Zhang
2018 C conf
Study Artificial Potential Field on the Clash Free Layout of Rebar in Reinforced Concrete Beam - Column Joints.
ICARCV
Jiepeng Liu, Chengran Xu, Nian Ao, Liang Feng, Zhou Wu
2018 J jnl
Thermal-Aware Task Mapping on Dynamically Reconfigurable Network-on-Chip Based Multiprocessor System-on-Chip.
IEEE Trans. Computers
Weichen Liu, Lei Yang, Weiwen Jiang, Liang Feng, Nan Guan, Wei Zhang, Nikil D. Dutt
2018 J jnl
Toward Low-Overhead Fingerprint-Based Indoor Localization via Transfer Learning: Design, Implementation, and Evaluation.
IEEE Trans. Ind. Informatics
Kai Liu, Hao Zhang, Joseph Kee-Yin Ng, Yusheng Xia, Liang Feng, Victor C. S. Lee, Sang Hyuk Son
2018 B conf
Towards Scalable Indoor Localization with Particle Filter and Wi-Fi Fingerprint.
SECON
Feiyu Jin, Kai Liu, Hao Zhang, Liang Feng, Chao Chen, Weiwei Wu
2018 J jnl
TripImputor: Real-Time Imputing Taxi Trip Purpose Leveraging Multi-Sourced Urban Data.
IEEE Trans. Intell. Transp. Syst.
Chao Chen, Shuhai Jiao, Shu Zhang, Weichen Liu, Liang Feng, Yasha Wang
2017 B conf
A Memetic Algorithm for Cache-Aided Data Broadcast with Network Coding in Vehicular Networks.
GLOBECOM
Kai Liu, Liang Feng, Penglin Dai, Weiwei Wu, Victor C. S. Lee, Sang Hyuk Son
2017 A conf
A hybrid approach to cache management in heterogeneous CPU-FPGA platforms.
ICCAD
Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang
2017 J jnl
An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems.
IEEE Trans. Evol. Comput.
Yaqing Hou, Yew-Soon Ong, Liang Feng, Jacek M. Zurada
2017 J jnl
Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems.
IEEE Trans. Evol. Comput.
Liang Feng, Yew-Soon Ong, Siwei Jiang, Abhishek Gupta
2017 A conf
COMBA: A comprehensive model-based analysis framework for high level synthesis of real applications.
ICCAD
Jieru Zhao, Liang Feng, Sharad Sinha, Wei Zhang, Yun Liang, Bingsheng He
2017 J jnl
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results.
CoRR
Yuan Yuan, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi
2017 J jnl
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results.
CoRR
Bingshui Da, Yew-Soon Ong, Liang Feng, A. K. Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao
2017 J jnl
Gene Expression Programming: A Survey [Review Article].
IEEE Comput. Intell. Mag.
Jinghui Zhong, Liang Feng, Yew-Soon Ong
2017 — conf
Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with a Mobile Sink.
SEAL
Ying Li, Zhixing Huang, Jinghui Zhong, Liang Feng
2017 J jnl
HeteroSim: A Heterogeneous CPU-FPGA Simulator.
IEEE Comput. Archit. Lett.
Liang Feng, Hao Liang, Sharad Sinha, Wei Zhang
2017 B conf
Linearized domain adaptation in evolutionary multitasking.
CEC
Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan
2017 J jnl
Multiobjective Multifactorial Optimization in Evolutionary Multitasking.
IEEE Trans. Cybern.
Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan
2017 B conf
PAAS: A system level simulator for heterogeneous computing architectures.
FPL
Tingyuan Liang, Liang Feng, Sharad Sinha, Wei Zhang
2017 B conf
Solving dynamic vehicle routing problem via evolutionary search with learning capability.
CEC
Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong, K. Liu, C. Chen, Edwin Hsing-Mean Sha, B. Yang, B. W. Yan
2016 B conf
A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem.
CEC
Zhenbin Ye, Liang Feng, Yew-Soon Ong, Kai Liu, Chao Chen, Edwin Hsing-Mean Sha
2016 B conf
Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems.
CEC
Siwei Jiang, Liang Feng, Chen Kim Heng, Quoc Chinh Nguyen, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan
2016 J jnl
Band selection for hyperspectral images using probabilistic memetic algorithm.
Soft Comput.
Liang Feng, Ah-Hwee Tan, Meng-Hiot Lim, Siwei Jiang
2016 J jnl
Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem.
Soft Comput.
Liang Feng, Yew-Soon Ong, Caishun Chen, Xianshun Chen
2016 — conf
Cooperative Information Services Based on Predictable Trajectories in Bus-VANETs.
HPCC/SmartCity/DSS
Junhua Wang, Kai Liu, Penglin Dai, Edwin Hsing-Mean Sha, Liang Feng, Chao Chen, Chunhua Xiao
2016 B conf
Creating human-like non-player game characters using a Memetic Multi-Agent System.
IJCNN
Yaqing Hou, Liang Feng, Yew-Soon Ong
2016 B conf
Evolutionary multitasking across single and multi-objective formulations for improved problem solving.
CEC
Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng
2016 — conf
Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem.
SSCI
Lei Zhou, Liang Feng, Jinghui Zhong, Yew-Soon Ong, Zexuan Zhu, Edwin Hsing-Mean Sha
2016 B conf
HeteroSim: A heterogeneous CPU-FPGA simulator.
FPL
Liang Feng, Hao Liang, Sharad Sinha, Wei Zhang
2016 B conf
Landscape synergy in evolutionary multitasking.
CEC
Abhishek Gupta, Yew-Soon Ong, Bingshui Da, Liang Feng, Stephanus Daniel Handoko
2016 J jnl
Multifactorial Evolution: Toward Evolutionary Multitasking.
IEEE Trans. Evol. Comput.
Abhishek Gupta, Yew-Soon Ong, Liang Feng
2016 — conf
The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking.
ACALCI
Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng
2016 B conf
Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization.
LCN
Penglin Dai, Kai Liu, Liang Feng, Qingfeng Zhuge, Victor Chung Sing Lee, Sang Hyuk Son
2016 B conf
Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition.
CEC
Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai
2015 J jnl
Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems.
Memetic Comput.
Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang
2015 J jnl
Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP.
IEEE Trans. Evol. Comput.
Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Ivor W. Tsang
2014 — —
A study on probabilistic memetic algorithm and meme-centric framework
Liang Feng
2014 J jnl
Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization.
IEEE Trans. Cybern.
Siwei Jiang, Yew-Soon Ong, Jie Zhang, Liang Feng
2013 J jnl
Extreme Learning Machines.
IEEE Intell. Syst.
Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu
2012 J jnl
A self-adaptive memeplexes robust search scheme for solving stochastic demands vehicle routing problem.
Int. J. Syst. Sci.
Xianshun Chen, Liang Feng, Yew-Soon Ong
2012 B conf
An evolutionary search paradigm that learns with past experiences.
IEEE Congress on Evolutionary Computation
Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan
2012 J jnl
Meme as Building Block for Evolutionary Optimization of Problem Instances
CoRR
Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor Wai-Hung Tsang
2011 B conf
Towards human-like social multi-agents with memetic automaton.
IEEE Congress on Evolutionary Computation
Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen
2010 B conf
Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem.
IEEE Congress on Evolutionary Computation
Liang Feng, Yew-Soon Ong, Quang Huy Nguyen, Ah-Hwee Tan