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Dynamic grouping evolutionary reinforcement learning algorithm for scheduling workflows in hybrid clouds

delete2026-08-08
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PRE
AI
H
Huifang Li *
B
Bing Chen
黄
黄双喜 (Shuangxi Huang)
B
Boyuan Chen
J
Jianghang Huang
Y
Yuanqing Xia
DOI：10.1016/j.asoc.2026.116185delete
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Abstract

Abstract

En 中文
• A swarm-guided and gradient-refined ERL framework by combining DDPG and PSO. • A dynamic group learning-enabled update mechanism to reduce time complexity. • A dual-population enhanced and hybrid elite solution-guided evolution strategy. • A complementary heuristic-guided action selection to trade-off two objectives.

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

T
tsinghua university
Scholars:
11.5W
Papers: 9.9W
Citations: 137
B
beijing institute of technology
Scholars:
5.3W
Papers: 3.9W
Citations: 63
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