Evolutionary metamodelling of discrete-event simulation models

Birkan Can, Gearoid Murphy, Cathal Heavey

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

Abstract

In this work, we investigate evolutionary metamodelling of discrete-event simulation models with the buffer allocation problems. We propose a genetic programming approach in order to derive the artificial response functions of simulation models. Alternative to similar studies, we do not assume a form for the response function and perform symbolic regression analysis over simulation models of different sizes of serial production lines. We present a comparative analysis with another artificial technique, neural networks, to identify the efficiency and the performance of symbolic regression in deriving metamodels via simulation.

Original languageEnglish
Title of host publication20th European Modeling and Simulation Symposium, EMSS 2008
Pages87-94
Number of pages8
Publication statusPublished - 2008
Event20th European Modeling and Simulation Symposium, EMSS 2008 - Campora San Giovanni, Amantea, CS, Italy
Duration: 17 Sep 200819 Sep 2008

Publication series

Name20th European Modeling and Simulation Symposium, EMSS 2008

Conference

Conference20th European Modeling and Simulation Symposium, EMSS 2008
Country/TerritoryItaly
CityCampora San Giovanni, Amantea, CS
Period17/09/0819/09/08

Keywords

  • Buffer allocation problem
  • Decision support
  • Genetic programming
  • Metamodelling
  • Neural networks
  • Simulation optimisation
  • Symbolic regression

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