Dynamic multi-swarm particle swarm optimization for multi-objective optimization problems

Dynamic multi-swarm particle swarm optimization for multi-objective optimization problems

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 sui...

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Bibliographic Details
Main Authors: Niu, B., Liang, J. J., Qu, B. Y., Suganthan, P. N.
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Electrical and electronic engineering
Online Access:https://hdl.handle.net/10356/84513
http://hdl.handle.net/10220/12008
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Institution: Nanyang Technological University
Language: English
Description
Summary: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.

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