Multi-Population Combinatorial Optimization Method Based on Hierarchical Structure in Solution Space

This letter highlights the risk of excessive search intensification decreasing efficiency in “Multi-Point Combinatorial Optimization Method Based on Hierarchical Structure in Solution Space (HS-MCOM)”. To address this issue, “Multi-Population Combinatorial Optimization Method Based on Hierarchical Structure in Solution Space” is proposed. Numerical experiments conducted on benchmark problems validate the effectiveness of the developed method.

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Publication Details

Journal
IEEJ Transactions on Electronics Information and Systems
Published
2026-03-31
DOI
https://doi.org/10.1541/ieejeiss.146.416
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-Population Combinatorial Optimization Method Based on Hierarchical Structure in Solution Space

Shin Watanabe, Kenichi Tamura, Keiichiro Yasuda
IEEJ Transactions on Electronics Information and Systems
Metaheuristic Optimization Algorithms Research
article

Multi-Population Combinatorial Optimization Method Based on Hierarchical Structure in Solution Space

Shin Watanabe, Kenichi Tamura, Keiichiro Yasuda
article en

Abstract

This letter highlights the risk of excessive search intensification decreasing efficiency in “Multi-Point Combinatorial Optimization Method Based on Hierarchical Structure in Solution Space (HS-MCOM)”. To address this issue, “Multi-Population Combinatorial Optimization Method Based on Hierarchical Structure in Solution Space” is proposed. Numerical experiments conducted on benchmark problems validate the effectiveness of the developed method.

IEEJ Transactions on Electronics Information and SystemsVol. 146(4)
Tokyo Metropolitan University (JP)
Openalex Percentile: Top 5%
Metaheuristic Optimization Algorithms Research
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