Learning adaptive differential evolution algorithm from optimization
experiences by policy gradient

Learning adaptive differential evolution algorithm from optimization experiences by policy gradient

6 February 2021

Xin Liu

Thomas Bäck

Papers citing "Learning adaptive differential evolution algorithm from optimization experiences by policy gradient"

18 / 18 papers shown

Title
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization Hongshu Guo Wenjie Qiu Zeyuan Ma Xuzhi Zhang Jun Zhang Jiawei Liu 49 1 0 24 Apr 2025
Reinforcement learning Based Automated Design of Differential Evolution Algorithm for Black-box Optimization Xu Yang Rui Wang Kaiwen Li Ling Wang 51 0 0 22 Jan 2025
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning Hongshu Guo Zeyuan Ma Jiacheng Chen Yining Ma Zhiguang Cao Xinglin Zhang Yue-jiao Gong 88 3 0 10 Dec 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-jiao Gong Jun Zhang Kay Chen Tan 104 2 0 01 Nov 2024
Learning to Transfer for Evolutionary Multitasking Sheng-hao Wu Yuxiao Huang Xingyu Wu Liang Feng Zhi-Hui Zhan Kay Chen Tan 29 4 0 20 Jun 2024
R2 Indicator and Deep Reinforcement Learning Enhanced Adaptive Multi-Objective Evolutionary Algorithm Farajollah Tahernezhad-Javazm Debbie Rankin N. D. Bois Alice E. Smith Damien Coyle 32 1 0 11 Apr 2024
Deep Reinforcement Learning for Dynamic Algorithm Selection: A Proof-of-Principle Study on Differential Evolution Hongshu Guo Yining Ma Zeyuan Ma Jiacheng Chen Xinglin Zhang Zhiguang Cao Jun Zhang Yue-jiao Gong 44 17 0 04 Mar 2024
Symbol: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning Jiacheng Chen Zeyuan Ma Hongshu Guo Yining Ma Jie Zhang Yue-jiao Gong 29 11 0 04 Feb 2024
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning Zeyuan Ma Hongshu Guo Jiacheng Chen Zhenrui Li Guojun Peng Yue-jiao Gong Yining Ma Zhiguang Cao OffRL 27 25 0 12 Oct 2023
Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities Yanjie Song Yutong Wu Yangyang Guo Ran Yan Suganthan Yue Zhang Witold Pedrycz Swagatam Das R. Mallipeddi Solomon Ajani 44 38 0 25 Aug 2023
Automated Design of Metaheuristic Algorithms: A Survey Qi Zhao Qiqi Duan Bai Yan Shi Cheng Yuhui Shi 40 10 0 12 Mar 2023
Automatic Construction of Parallel Algorithm Portfolios for Multi-objective Optimization Xiasheng Ma Shengcai Liu W. Hong 24 0 0 17 Nov 2022
Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems Remco Coppens Robbert Reijnen Yingqian Zhang Laurens Bliek Berend Steenhuisen 31 0 0 01 Nov 2022
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan M. Li Chao Qian Zongzhang Zhang Yang Yu 37 29 0 13 Oct 2022
Reinforcement learning based adaptive metaheuristics Michele Tessari Giovanni Iacca 21 4 0 24 Jun 2022
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization Songbai Liu Qiuzhen Lin Jianqiang Li Kay Chen Tan 38 51 0 23 Jun 2022
Guided Sampling-based Evolutionary Deep Neural Network for Intelligent Fault Diagnosis Arun K. Sharma N. Verma 34 2 0 12 Nov 2021
ASBSO: An Improved Brain Storm Optimization With Flexible Search Length and Memory-Based Selection Yang Yu Shangce Gao Yirui Wang Zhenyu Lei Jiahai Wang 33 21 0 27 Jan 2021