Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems-Reference-Cited by-同舟云学术

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Reinforcement learning-based differential evolution algorithm for constrained multi-objective optimization problems

Published:2024-05 Issue: Volume:131 Page:107817
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Yu Xiaobing,Xu Pingping,Wang Feng,Wang Xuming

Funder

Ministry of Education of the People's Republic of China

Qinglan Project of Jiangsu Province of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference58 articles.

1. An adaptive constraint handling approach embedded MOEA/D;Asafuddoula,2012

2. HypE: an algorithm for fast hypervolume-based many-objective optimization;Bader;Evol. Comput.,2011

3. Differential Evolution: a review of more than two decades of research;Bilal;Eng. Appl. Artif. Intell.,2020

4. Reinforcement learning-based differential evolution with cooperative coevolution for a compensatory neuro-fuzzy controller;Cheng-Hung;IEEE Transact. Neural Networks Learn. Syst.,2018

5. A reference vector guided evolutionary algorithm for many-objective optimization;Cheng;IEEE Trans. Evol. Comput.,2016

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