Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning

Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning

23 March 2025

Papers citing "Reinforcement Learning-based Self-adaptive Differential Evolution through Automated Landscape Feature Learning"

14 / 14 papers shown

Title
DesignX: Human-Competitive Algorithm Designer for Black-Box Optimization Hongshu Guo Zeyuan Ma Yining Ma Xinglin Zhang Wei-Neng Chen Yue-Jiao Gong 191 0 0 23 May 2025
MetaBox-v2: A Unified Benchmark Platform for Meta-Black-Box Optimization Zeyuan Ma Yue-Jiao Gong Hongshu Guo Wenjie Qiu Sijie Ma ... Zhiyang Huang Zechuan Huang Guojun Peng Ran Cheng Yining Ma OffRL 53 0 0 23 May 2025
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization Hongshu Guo Wenjie Qiu Zeyuan Ma Wei Wei Jun Zhang Jiawei Liu 86 2 0 24 Apr 2025
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 273 4 0 01 Nov 2024
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning Zeyuan Ma Jiacheng Chen Hongshu Guo Yining Ma Yue-Jiao Gong 73 9 0 12 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 79 22 0 04 Mar 2024
LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation Zeyuan Ma Hongshu Guo Jiacheng Chen Guojun Peng Zhiguang Cao Yining Ma Yue-Jiao Gong SyDa ALM 63 21 0 02 Mar 2024
B2Opt: Learning to Optimize Black-box Optimization with Little Budget Xiaobin Li K. Wu Xiaoyu Zhang Handing Wang Qingbin Liu 53 11 0 24 Apr 2023
Deep Reinforcement Learning Based Parameter Control in Differential Evolution Mudita Sharma Alexandros Komninos Manuel López-Ibánez D. Kazakov 37 74 0 20 May 2019
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 701 131,652 0 12 Jun 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 413 10,494 0 21 Jul 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 167 7,641 0 22 Sep 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,231 0 19 Dec 2013