Adaptive epsilon non-dominated sorting multi-objective evolutionary optimization and its application in shortest path problem

Yu Cheng, Yongjie Jin, Jinglu Hu

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

This paper presents an adaptive epsilon non-dominated sorting method for multi-objective evolutionary optimization which has the ability to preserve both the efficiency and diversity. In NSGA-II, a fast non-dominated sorting mechanism is applied to sort solutions in an efficient way. However, it may suffer from deterioration and diversity in population is not as great as expected. To solve this problem, the concept of epsilon-dominance is applied for updating solutions in non-dominate sorted layers according to adaptive epsilon value, and the novel update strategy could prevent deterioration and keep diversity well. A real-world city map with 410 nodes and 1334 arcs is used in experiment, and the result shows that the proposed algorithm (AENSGA) performs better than NSGA-II in multi-objective shortest path problem.

元の言語English
ホスト出版物のタイトルICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
ページ2545-2549
ページ数5
出版物ステータスPublished - 2009 12 1
イベントICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009 - Fukuoka, Japan
継続期間: 2009 8 182009 8 21

出版物シリーズ

名前ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings

Other

OtherICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009
Japan
Fukuoka
期間09/8/1809/8/21

ASJC Scopus subject areas

  • Information Systems
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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  • これを引用

    Cheng, Y., Jin, Y., & Hu, J. (2009). Adaptive epsilon non-dominated sorting multi-objective evolutionary optimization and its application in shortest path problem. : ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings (pp. 2545-2549). [5335372] (ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings).