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A parallel MOEA/D-MRA algorithm for solving multi-objective optimal power flow problems

delete2026-05-09
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PRE
AI
J
Jiawei Tan
X
Xiaoqing Zhu
J
Jingrui Zhang *
DOI:10.1016/j.asoc.2026.115413delete
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Abstract

Abstract

En 中文
• Proposes PMOEA/D-MRA for efficient many-objective optimal power flow solving. • Designs a partitioned parallel evolution strategy to distribute computational load. • Proposes a Master-Slave migration mechanism to enhance solution quality. • Validates superiority on IEEE test systems with high solution quality and speedup. • Outstanding parallel acceleration with 8.453x speedup using 10 processes.
Keywords:
PMOEA/D-MRA
many-objective optimal power flow
parallel evolution strategy
Master-Slave migration
speedup

Journal

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

Organization

X
xiamen university
Scholars:
5.8W
Papers: 3.8W
Citations: 67