Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84513
Title: Dynamic multi-swarm particle swarm optimization for multi-objective optimization problems
Authors: Niu, B.
Liang, J. J.
Qu, B. Y.
Suganthan, P. N.
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Liang, J. J., Qu, B. Y., Suganthan, P. N., & Niu, B. (2012). Dynamic Multi-Swarm Particle Swarm Optimization for Multi-objective optimization problems. 2012 IEEE Congress on Evolutionary Computation (CEC).
Abstract: In this paper, Dynamic Multi-Swarm Particle Swarm Optimizer (DMS-PSO) which was first designed for solving single objective optimizations problems is extended to solve Multi-objective optimization problems with constraints. Through analysis, novel pbest and lbest updating criteria which are more suitable for solving Multi-objective optimization problems are proposed. By combining the external archive and the novel updating criteria, excellent performance is achieved by DMS-MO-PSO on eight benchmark test functions.
URI: https://hdl.handle.net/10356/84513
http://hdl.handle.net/10220/12008
DOI: 10.1109/CEC.2012.6256416
Rights: © 2012 IEEE.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Conference Papers

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