Simulation-based Evolutionary Optimisation of Buffer Allocation Problem

Birkan Can, Cathal Heavey, Andreas Beham

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

In this work, we investigate single-objective optimisation of discrete-event simulation (DES) models with evolutionary algorithms. We study genetic algorithms (GAs) and perform comparative analysis of the results from DES models of serial production lines where average steady-state throughput is considered as the performance criterion. We perform empirical analysis of different GA settings to identify ideal parameters in simulation-based optimisation. We experiment on different sized problems. The empirical results have shown the efficiency of GAs in simulationbased optimisation of production lines through buffer allocation.
Original languageEnglish
Title of host publicationProceedings of the Operational Research Society 4th Simulation Workshop (SW08)
Pages321-324
Publication statusPublished - 2008
EventOperational Research Society 4th Simulation Workshop (SW08) - Worcestershire, England, UK, United Kingdom
Duration: 1 Apr 20082 Apr 2008

Conference

ConferenceOperational Research Society 4th Simulation Workshop (SW08)
CountryUnited Kingdom
CityWorcestershire, England, UK
Period01.04.200802.04.2008

Fingerprint Dive into the research topics of 'Simulation-based Evolutionary Optimisation of Buffer Allocation Problem'. Together they form a unique fingerprint.

Cite this