dc.contributor.authorLiang, J. J.
dc.contributor.authorQu, B. Y.
dc.contributor.authorSuganthan, P. N.
dc.contributor.authorNiu, B.
dc.identifier.citationLiang, 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).en_US
dc.description.abstractIn 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.en_US
dc.rights© 2012 IEEE.en_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering
dc.titleDynamic multi-swarm particle swarm optimization for multi-objective optimization problemsen_US
dc.typeConference Paper
dc.contributor.conferenceIEEE Congress on Evolutionary Computation (2012 : Brisbane, Australia)en_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US

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