NDLI: Analyses of guide update approaches for vector evaluated particle swarm optimisation on dynamic multi-objective optimisation problems

Content Provider	IEEE Xplore Digital Library
Author	Helbig, M. Engelbrecht, A.P.
Copyright Year	2012
Description	Author affiliation: Department of Computer Science, University of Pretoria, South Africa, 0184 (Engelbrecht, A.P.) \|\| CSIR: Meraka Institute, Pretoria, South Africa, 0184 (Helbig, M.)
Abstract	The vector evaluated particle swarm optimisation (VEPSO) algorithm is a multi-swarm variation of particle swarm optimisation (PSO) used to solve static multi-objective optimisation problems (SMOOPs). Recently, VEPSO was extended to the dynamic VEPSO (DVEPSO) algorithm to solve dynamic multi-objective optimisation problems (DMOOPs) that have at least one objective that changes over time. The search process of DVEPSO is driven through local and global guides that can be updated in various ways. This paper investigates the influence of various guide update approaches on the performance of DVEPSO. DVEPSO is also compared against a competitive-cooperative evolutionary algorithm. The results indicate that DVEPSO performs well in fast changing environments, but struggles to converge to discontinuous Pareto-optimal fronts (POFs).
Starting Page	1
Ending Page	8
File Size	1479605
Page Count	8
File Format	PDF
ISBN	9781467315104
e-ISBN	9781467315098
e-ISBN	9781467315081
DOI	10.1109/CEC.2012.6252882
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optical fibers Heuristic algorithms Optimization Benchmark testing Vectors Particle swarm optimization Topology
Content Type	Text
Resource Type	Article

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