Evolutionary many-objective optimization by MO-NSGA-II with enhanced mating selection

Shao Wen Chen; Tsung Che Chiang

doi:10.1109/CEC.2014.6900400

Evolutionary many-objective optimization by MO-NSGA-II with enhanced mating selection

Shao Wen Chen^*, Tsung Che Chiang

^*Corresponding author for this work

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Many-objective optimization deals with problems with more than three objectives. The rapid growth of non-dominated solutions with the increase of the number of objectives weakens the search ability of Pareto-dominance-based multiobjective evolutionary algorithms. MO-NSGA-II strengthens its dominance-based predecessor, NSGA-II, by guiding the search process with reference points. In this paper, we further improve MO-NSGA-II by enhancing its mating selection mechanism with a hierarchical selection and a neighborhood concept based on the reference points. Experimental results confirm that the proposed ideas lead to better solution quality.

Original language	English
Title of host publication	Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1397-1404
Number of pages	8
ISBN (Electronic)	9781479914883
DOIs	https://doi.org/10.1109/CEC.2014.6900400
Publication status	Published - 2014 Sept 16
Event	2014 IEEE Congress on Evolutionary Computation, CEC 2014 - Beijing, China Duration: 2014 Jul 6 → 2014 Jul 11

Publication series

Name	Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014

Other

Other	2014 IEEE Congress on Evolutionary Computation, CEC 2014
Country/Territory	China
City	Beijing
Period	2014/07/06 → 2014/07/11

ASJC Scopus subject areas

Artificial Intelligence
Computational Theory and Mathematics
Theoretical Computer Science

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10.1109/CEC.2014.6900400

Cite this

Chen, S. W., & Chiang, T. C. (2014). Evolutionary many-objective optimization by MO-NSGA-II with enhanced mating selection. In Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014 (pp. 1397-1404). Article 6900400 (Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CEC.2014.6900400

Evolutionary many-objective optimization by MO-NSGA-II with enhanced mating selection. / Chen, Shao Wen; Chiang, Tsung Che.
Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1397-1404 6900400 (Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, SW & Chiang, TC 2014, Evolutionary many-objective optimization by MO-NSGA-II with enhanced mating selection. in Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014., 6900400, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 1397-1404, 2014 IEEE Congress on Evolutionary Computation, CEC 2014, Beijing, China, 2014/07/06. https://doi.org/10.1109/CEC.2014.6900400

Chen SW, Chiang TC. Evolutionary many-objective optimization by MO-NSGA-II with enhanced mating selection. In Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 1397-1404. 6900400. (Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014). doi: 10.1109/CEC.2014.6900400

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Evolutionary many-objective optimization by MO-NSGA-II with enhanced mating selection

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