Volume 8 Number 10 (Oct. 2013)
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JSW 2013 Vol.8(10): 2554-2561 ISSN: 1796-217X
doi: 10.4304/jsw.8.10.2554-2561

An Improved Harmony Search Algorithm for Constrained Multi-Objective Optimization

Yuelin Gao, Xia Chang, Yingzhen Chen
Institute of Information and System Science, Beifang University for Nationalities, Yinchuan, China

Abstract—An improved harmony search algorithm for constrained multi-objective optimization problems is proposed in this paper. Inspired by Particle Swarm Optimization, an inductor particle is introduced to speed up the convergence rate of the CMOHS. Two populations are adopted to increase the opportunity of finding the optimal solutions. Numerical experiments are divided into two parts: the first one compares the CMOHS with NSGA-II, and the other one compares the CMOHS with the algorithm without the inductor individual. The results show that the CMOHS is more effective than NSGA-II, and the induction mechanism improved the convergence and diversity of the algorithm.

Index Terms—Multi-objective optimization, Harmony search algorithm, Double populations, Density.

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Cite: Yuelin Gao, Xia Chang, Yingzhen Chen, "An Improved Harmony Search Algorithm for Constrained Multi-Objective Optimization," Journal of Software vol. 8, no. 10, pp. 2554-2561, 2013.

General Information

ISSN: 1796-217X
Frequency: Monthly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jsw@iap.org
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