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Deep reinforcement learning-based two-stage coevolutionary framework for multimodal multi-objective optimization

delete2026-02-18
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PRE
AI
Q
Qianlong Dang
X
Xiaochuan Gao
S
Shuwei Hou
Z
Zhengxin Huang
G
Guanghui Zhang
阮俊虎 封面图
阮俊虎 (Junhu Ruan) *
DOI:10.1016/j.asoc.2026.114836delete
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摘要

摘要

En 中文
• 基于深度强化学习的自适应进化算子选择策略。 • 将自适应算子融入两阶段协同进化框架,提出MMOEA-DRL。 • MMOEA-DRL在决策空间中达到64.71%的最优性,性能优于其他方法超过55.74%。
Keyword:
Deep reinforcement learning
Adaptive evolutionary operators
Two-stage co-evolutionary framework
Multimodal multi-objective optimization
Evolutionary algorithms

期刊

Applied Soft Computing 封面图
Applied Soft Computing
IF:
6.6
论文数:
1.4W
被引数:
4.8W

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Y
youjiang medical university
学者数:
22
论文数: 20
被引数: 0
L
Lingnan University
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1.0K
论文数: 1.4K
被引数: 202
N
northwest a and f university
学者数:
967
论文数: 227
被引数: 0
H
hebei agricultural university
学者数:
2.2K
论文数: 600
被引数: 0
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引用论文

引用论文

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