Feng-Feng Wei

According to our database, Feng-Feng Wei authored at least 18 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PEGA: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization.

Bowen Zhao, Wei-Neng Chen, Feng-Feng Wei, Ximeng Liu, Qingqi Pei, Jun Zhang

IEEE Trans. Cybern., June, 2024

An Improved Evolutionary Reinforcement Learning Algorithm for UAV Online Target Tracking.

Bai-Jiang Yu, Feng-Feng Wei, Tai-You Chen, Wei-Neng Chen

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

An Order-aware Adaptive Iterative Local Search Metaheuristic for Multi-depot UAV Pickup and Delivery Problem.

Xiang-Ling Chen, Xiao-Cheng Liao, Feng-Feng Wei, Wei-Neng Chen

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

An Efficient Two-Stage Surrogate-Assisted Differential Evolution for Expensive Inequality Constrained Optimization.

Feng-Feng Wei, Wei-Neng Chen, Wentao Mao, Xiao-Min Hu, Jun Zhang

IEEE Trans. Syst. Man Cybern. Syst., December, 2023

Edge-Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems.

Xiao-Qi Guo, Wei-Neng Chen, Feng-Feng Wei, Wentao Mao, Xiao-Min Hu, Jun Zhang

IEEE Trans. Cybern., October, 2023

A Hybrid Regressor and Classifier-Assisted Evolutionary Algorithm for Expensive Optimization With Incomplete Constraint Information.

Feng-Feng Wei, Wei-Neng Chen, Jun Zhang

IEEE Trans. Syst. Man Cybern. Syst., 2023

Distributed and Expensive Evolutionary Constrained Optimization With On-Demand Evaluation.

Feng-Feng Wei, Wei-Neng Chen, Qing Li, Sang-Woon Jeon, Jun Zhang

IEEE Trans. Evol. Comput., 2023

CEC: Crowdsourcing-based Evolutionary Computation for Distributed Optimization.

Feng-Feng Wei, Wei-Neng Chen, Xiao-Qi Guo, Bowen Zhao, Sang-Woon Jeon, Jun Zhang

CoRR, 2023

A Survey on Distributed Evolutionary Computation.

Wei-Neng Chen, Feng-Feng Wei, Tian-Fang Zhao, Kay Chen Tan, Jun Zhang

CoRR, 2023

ECdo: An Edge Computing Distributed Data-Driven Evolutionary Optimization Platform.

Qing-Ye Zeng, Feng-Feng Wei, Xiao-Qi Guo, Wei-Neng Chen

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Constrained Sampling Assisted Differential Evolution for Expensive Optimization.

Feng-Feng Wei, Tai-You Chen, Xuan-Li Shi, Wei-Neng Chen

Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

2022

Matrix-Based Evolutionary Computation.

Zhi-Hui Zhan, Jun Zhang, Ying Lin, Jian-Yu Li, Ting Huang, Xiao-Qi Guo, Feng-Feng Wei, Sam Kwong, Xinyi Zhang, Rui You

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization.

Bowen Zhao, Wei-Neng Chen, Feng-Feng Wei, Ximeng Liu, Qingqi Pei, Jun Zhang

CoRR, 2022

Combining Traffic Assignment and Traffic Signal Control for Online Traffic Flow Optimization.

Xiao-Cheng Liao, Wen-Jin Qiu, Feng-Feng Wei, Wei-Neng Chen

Proceedings of the Neural Information Processing - 29th International Conference, 2022

A classification-assisted level-based learning evolutionary algorithm for expensive multiobjective optimization problems.

Zhuo Liu, Xiaolin Xiao, Feng-Feng Wei, Wei-Neng Chen

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

A Distributed RBF-Assisted Differential Evolution for Distributed Expensive Constrained Optimization.

Feng-Feng Wei, Xiao-Qi Guo, Wen-Jin Qiu, Tai-You Chen, Wei-Neng Chen

Proceedings of the Distributed Artificial Intelligence - 4th International Conference, 2022

A Multi-objective Level-Based Learning Swarm Optimization Algorithm with Preference for Epidemic Resource Allocation.

Guo Yang, Xuan-Li Shi, Feng-Feng Wei, Wei-Neng Chen

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021

A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization.

Feng-Feng Wei, Wei-Neng Chen, Qiang Yang, Jeremiah D. Deng, Xiaonan Luo, Hu Jin, Jun Zhang

IEEE Trans. Evol. Comput., 2021