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|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
|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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