USING THE POPULATION-BASED INCREMENTAL LEARNING ALGORITHM WITH COMPUTER SIMULATION: SOME APPLICATIONS

Authors

  • J. Bekker Department of Industrial Engineering, Stellenbosch University
  • Y. Olivier Department of Industrial Engineering, Stellenbosch University

DOI:

https://doi.org/10.7166/19-1-106

Abstract

ENGLISH 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.

AFRIKAANSE 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

Downloads

Download data is not yet available.

Downloads

Published

2011-11-05

How to Cite

Bekker, J., & Olivier, Y. (2011). USING THE POPULATION-BASED INCREMENTAL LEARNING ALGORITHM WITH COMPUTER SIMULATION: SOME APPLICATIONS. The South African Journal of Industrial Engineering, 19(1). https://doi.org/10.7166/19-1-106

Issue

Vol. 19 No. 1 (2008)

Section

General Articles

License

Authors who publish in the Journal agree to the following terms:
  1. Authors retain copyright and grant the Journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the Journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this Journal.