Development of a discrete-event, stochastic multi-objective metaheuristic simulation optimisation suite for a commercial software package

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dc.contributor.authorBamporiki, T.en_ZA
dc.contributor.authorBekker, J.en_ZA
dc.date.accessioned2018-11-12T10:09:21Z
dc.date.available2018-11-12T10:09:21Z
dc.date.issued2018-11-08
dc.descriptionCITATION: Bamporiki, T. V. & Bekker, J. 2018. Development of a discrete-event, stochastic multi-objective metaheuristic simulation optimisation suite for a commercial software package. South African Journal of Industrial Engineering, 29(3):12-25, doi:10.7166/29-3-2045.
dc.descriptionThe original publication is available at http://sajie.journals.ac.za
dc.description.abstractENGLISH ABSTRACT: In this paper, the authors present the development of an optimisation suite and its implementation. This paper is part of an ongoing project that aims at developing a hybrid metaheuristic optimisation suite to solve multi-objective simulation optimisation problems. The suite is developed as a third-party library to solve discrete-event, stochastic simulation optimisation (SO) problems with multi-objectives, and is integrated with Tecnomatix Plant Simulation, a simulation software package developed by Siemens. Two real-life multi-objective SO problems are selected to test the suiteā€™s performance, and the test results are discussed.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING: In hierdie artikel bespreek die outeurs die ontwikkeling en implementering van ā€™n optimering-suite. Die studie vorm deel van ā€™n lopende projek wat die ontwikkeling van ā€™n hibriede optimering-suite vir multi-doelwitoptimering nastreef. Die suite word ontwikkel as ā€™n derdeparty-biblioteek om diskrete gebeurtenis, stogastiese simulasieprobleme met multi-doelwitte op te los, en dit dan met Tecnomatix Plant Simulation van Siemens te integreer. Twee realistiese multi-doelwitsimulasie-optimerings-probleme is gekies om die werkverrigting van die suite te evalueer, en die resultate word bespreek.af_ZA
dc.description.urihttp://sajie.journals.ac.za/pub/article/view/2045
dc.description.versionPublisher's version
dc.format.extent14 pagesen_ZA
dc.identifier.citationBamporiki, T. V. & Bekker, J. 2018. Development of a discrete-event, stochastic multi-objective metaheuristic simulation optimisation suite for a commercial software package. South African Journal of Industrial Engineering, 29(3):12-25, doi:10.7166/29-3-2045
dc.identifier.issn2224-7890 (online)
dc.identifier.issn1012-277X (print)
dc.identifier.otherdoi:10.7166/29-3-2045
dc.identifier.urihttp://hdl.handle.net/10019.1/104671
dc.language.isoen_ZAen_ZA
dc.publisherSouthern African Institute for Industrial Engineering
dc.rights.holderAuthors retain copyright
dc.subjectOptimisation suiteen_ZA
dc.subjectMetaheuristicsen_ZA
dc.subjectStochastic programmingen_ZA
dc.subjectArtificial intelligenceen_ZA
dc.subjectIndustrial revolutionen_ZA
dc.subjectSoftware engineeringen_ZA
dc.titleDevelopment of a discrete-event, stochastic multi-objective metaheuristic simulation optimisation suite for a commercial software packageen_ZA
dc.typeArticleen_ZA
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