Using the population-based incremental learning algorithm with computer simulation : some applications

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dc.contributor.authorBekker, J.en_ZA
dc.contributor.authorOlivier, Y.en_ZA
dc.date.accessioned2012-10-24T07:23:11Z
dc.date.available2012-10-24T07:23:11Z
dc.date.issued2008
dc.descriptionCITATION: Bekker, J. & Olivier, Y. 2008. Using the population-based incremental learning algorithm with computer simulation : some applications. South African Journal of Industrial Engineering, 19(1): 53-71, doi: http://dx.doi.org/10.7166/19-1-106.
dc.descriptionThe original publication is available at http://sajie.journals.ac.za
dc.description.abstractENGLISH ABSTRACT: The integration of the population-based incremental learning (PBIL) algorithm with computer simulation shows how this particular combination can be applied to find good solutions to combinatorial optimisation problems. Two illustrative examples are used: the classical inventory problem of finding a reorder point and reorder quantity that minimises costs while achieving a required service level (a stochastic problem); and the signal timing of a complex traffic intersection. Any traffic control system must be designed to minimise the duration of interruptions at intersections while maximising traffic throughput. The duration of the phases of traffic lights is of primary importance in this regard.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING: Die integrasie van die population-based incremental learning (PBIL) algoritme met rekenaarsimulasie word bespreek, en daar word getoon hoe hierdie spesifieke kombinasie aangewend kan word om goeie oplossings vir kombinatoriese optimeringsprobleme te vind. Twee voorbeelde dien as illustrasie: die klassieke voorraadprobleem waarin ’n herbestelvlak en herbestelhoeveelheid bepaal moet word om koste te minimeer maar nogtans ’n vasgestelde diensvlak te handhaaf (’n stochastiese probleem); en die bepaling van die seintye van ’n komplekse verkeerskruising. Enige verkeerbeheerstelsel moet ontwerp word om die duur van die vloeionderbrekings by verkeerskruisings te minimeer en verkeerdeurset te maksimeer. Die tydsduur van die fases van verkeersligte is dus baie belangrik.af_ZA
dc.description.urihttp://sajie.journals.ac.za/pub/article/view/106
dc.description.versionPublisher's versionen_ZA
dc.format.extent20 pagesen_ZA
dc.identifier.citationBekker, J. & Olivier, Y. 2008. Using the population-based incremental learning algorithm with computer simulation : some applications. South African Journal of Industrial Engineering, 19(1): 53-71, doi: http://dx.doi.org/10.7166/19-1-106en_ZA
dc.identifier.issn2224-7890 (online)
dc.identifier.issn1012-277X (print)
dc.identifier.otherdoi: http://dx.doi.org/10.7166/19-1-106
dc.identifier.urihttp://hdl.handle.net/10019.1/70788
dc.language.isoen_ZAen_ZA
dc.publisherSAIIEen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectIncremental motion controlen_ZA
dc.subjectTraffic intersectionen_ZA
dc.subjectTraffic engineering -- Mathematical modelsen_ZA
dc.titleUsing the population-based incremental learning algorithm with computer simulation : some applicationsen_ZA
dc.typeArticleen_ZA
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