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Critical analysis of angle modulated particle swarm optimisers

Dissertation (MSc)--University of Pretoria, 2017.

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Other Authors: Engelbrecht, Andries P.
Format: Thesis
Language:English
Published: University of Pretoria 2017
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access_status_str Open Access
author2 Engelbrecht, Andries P.
author_browse Engelbrecht, Andries P.
author_facet Engelbrecht, Andries P.
collection Thesis
dc_rights_str_mv © 2017, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc)--University of Pretoria, 2017.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:12.360Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/61548 Critical analysis of angle modulated particle swarm optimisers Engelbrecht, Andries P. bleonard@cs.up.ac.za Leonard, Barend Jacobus Binary optimisation Particle swarm optimization (PSO) Angle modulation UCTD Engineering, built environment and information technology theses SDG-09 Dissertation (MSc)--University of Pretoria, 2017. This dissertation presents an analysis of the angle modulated particle swarm optimisation (AMPSO) algorithm. AMPSO is a technique that enables one to solve binary optimisation problems with particle swarm optimisation (PSO), without any modifications to the PSO algorithm. While AMPSO has been successfully applied to a range of optimisation problems, there is little to no understanding of how and why the algorithm might fail. The work presented here includes in-depth theoretical and emprical analyses of the AMPSO algorithm in an attempt to understand it better. Where problems are identified, they are supported by theoretical and/or empirical evidence. Furthermore, suggestions are made as to how the identified issues could be overcome. In particular, the generating function is identified as the main cause for concern. The generating function in AMPSO is responsible for generating binary solutions. However, it is shown that the increasing frequency of the generating function hinders the algorithm’s ability to effectively exploit the search space. The problem is addressed by introducing methods to construct different generating functions, and to quantify the quality of arbitrary generating functions. In addition to this, a number of other problems are identified and addressed in various ways. The work concludes with an empirical analysis that aims to identify which of the various suggestions made throughout this dissertatioin hold substantial promise for further research. bs2026 Computer Science MSc Unrestricted SDG-09: Industry, innovation and infrastructure 2017-08-02T07:30:09Z 2017-08-02T07:30:09Z 2017-09-08 2017 Dissertation Leonard, BJ 2017, Critical analysis of angle modulated particle swarm optimisers, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/61548> S2017 http://hdl.handle.net/2263/61548 en © 2017, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle Binary optimisation
Particle swarm optimization (PSO)
Angle modulation
UCTD
Engineering, built environment and information technology theses SDG-09
Critical analysis of angle modulated particle swarm optimisers
title Critical analysis of angle modulated particle swarm optimisers
title_full Critical analysis of angle modulated particle swarm optimisers
title_fullStr Critical analysis of angle modulated particle swarm optimisers
title_full_unstemmed Critical analysis of angle modulated particle swarm optimisers
title_short Critical analysis of angle modulated particle swarm optimisers
title_sort critical analysis of angle modulated particle swarm optimisers
topic Binary optimisation
Particle swarm optimization (PSO)
Angle modulation
UCTD
Engineering, built environment and information technology theses SDG-09
url http://hdl.handle.net/2263/61548