Accuracy and efficiency of a constrained genetic programming in simulation metamodelling

Birkan Can, Cathal Heavey

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

Abstract

This paper analyses the robustness of a modified Genetic Programming (GP) algorithm for simulation meta-modelling. Using two different industrial problems, the paper presents an empirical study of a constrained GP that extends past work carried out by the authors. The results show improvements in terms of time to generate GP models and their extrapolation accuracy.

Original languageEnglish
Title of host publication2012 Operational Research Society Simulation Workshop, SW 2012
EditorsCathal Heavey, Durk-Jouke van der Zee, Benny Tjahjono, Stephan Onggo
PublisherOperational Research Society
Pages1-9
Number of pages9
ISBN (Electronic)0903440504
Publication statusPublished - 2012
Event2012 Operational Research Society Simulation Workshop, SW 2012 - Worcestershire, United Kingdom
Duration: 27 Mar 201228 Mar 2012

Publication series

Name2012 Operational Research Society Simulation Workshop, SW 2012

Conference

Conference2012 Operational Research Society Simulation Workshop, SW 2012
Country/TerritoryUnited Kingdom
CityWorcestershire
Period27/03/1228/03/12

Keywords

  • Design of experiments
  • Genetic programming
  • Metamodelling
  • Symbolic regression

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