Multi-objective particle swarm optimization based on global margin ranking
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- 作者：Li Li ; Wanliang Wang ; wwl@zjut.edu.cn" class="auth_mail" title="E-mail the corresponding author ; Xinli Xu
- 关键词：Global margin ranking ; MOPSO ; Elitist selection ; Swarm intelligence
- 刊名：Information Sciences
- 出版年：2017
- 出版时间：1 January 2017
- 年：2017
- 卷：375
- 期：Complete
- 页码：30-47
- 全文大小：5123 K
文摘
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A novel non-dominate sorting scheme called Global Margin Ranking is proposed.
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By integrating the Global Margin Ranking and the particles’ density information, a succinct and efficient gBest and pBest selection strategy is conducted.
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Combine with the Global Margin Ranking and optimal particles selection mechanism, a charming multi-objective optimization algorithm called MOPSO/GMR is demonstrated.