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A dynamic task-assisted constrained multimodal multi-objective optimization algorithm based on reinforcement learning

delete2025-07-19
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PRE
AI
Z
Zheng Wang
Q
Qianlin Ye *
W
Wanliang Wang
G
Guoqing Li
R
Rui Dai
DOI:10.1016/j.swevo.2025.102087delete
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Abstract

Abstract

En 中文
• A dynamic task-assisted method is designed to solve constrained multimodal problems. • Three auxiliary tasks evolve cooperatively. • Dynamic selection of auxiliary tasks with reinforcement learning. • A new indicator for integrated evaluation of the quality of solutions is designed.
Keywords:
dynamic task-assisted method
constrained multimodal problems
auxiliary tasks
reinforcement learning
solution quality evaluation

Journal

Swarm and Evolutionary Computation cover
Swarm and Evolutionary Computation
IF:
8.5
Papers:
2.1K
Citations:
1.0W

Organization

Z
zhejiang university of technology
Scholars:
3.2W
Papers: 2.0W
Citations: 22
H
Hangzhou City University
Scholars:
2.2K
Papers: 2.0K
Citations: 1.0K
N
Ningbo University
Scholars:
2.6W
Papers: 1.8W
Citations: 2.4W
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