NDLI: MOPSOhv: A new hypervolume-based multi-objective particle swarm optimizer

Content Provider	IEEE Xplore Digital Library
Author	Chaman Garcia, I. Coello Coello, C.A. Arias-Montano, A.
Copyright Year	2014
Description	Author affiliation: CINVESTAV-IPN, Mexico City, Mexico (Chaman Garcia, I.; Coello Coello, C.A.) \|\| ESIME Ticoman, Inst. Politec. Nac., Mexico City, Mexico (Arias-Montano, A.)
Abstract	This paper proposes a new hypervolume-based multi-objective particle swarm optimizer (called MOPSOhv) that uses an external archive to store the global nondominated solutions found during the evolutionary process. The proposed algorithm makes use of the hypervolume contribution of archived solutions for selecting global and personal leaders for each particle in the main swarm, and also as a mechanism for pruning the external archive when it is updated with new nondominated solutions. In order to increase the diversity when particles are updated in their positions, a mutation operator is used. The performance of the proposed algorithm is evaluated adopting standard test problems and indicators reported in the specialized literature, comparing its results with respect to those obtained by state-of-the-art multi-objective evolutionary algorithms. Our preliminary results indicate that our proposal is competitive with respect to state-of-the-art multi-objective evolutionary algorithms, being particularly suitable for solving many-objective optimization problems (i.e., problems having more than 3 objectives).
Starting Page	266
Ending Page	273
File Size	432674
Page Count	8
File Format	PDF
e-ISBN	9781479914883
DOI	10.1109/CEC.2014.6900540
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Approximation methods Convergence Pareto optimization Particle swarm optimization Sociology
Content Type	Text
Resource Type	Article

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