Dynamic multi-swarm particle swarm optimization for multi-objective optimization problems.
Liang, J. J.
Qu, B. Y.
Suganthan, P. N.
Date of Issue2012
IEEE Congress on Evolutionary Computation (2012 : Brisbane, Australia)
School of Electrical and Electronic Engineering
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.
DRNTU::Engineering::Electrical and electronic engineering
© 2012 IEEE.