Evolutionary selection in simulation-based optimization

Andreas Beham, Monika Kofler, Michael Affenzeller, Stefan Wagner

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


In this work we examine the effect of elitist and non-elitist selection on a supply chain problem. The problem is characterized by an output constraint which in turn separates the search space in a feasible and a non-feasible region. Additionally the simulation output is noisy due to a stochastic demand model. We will show analyze which strategy is able to perform a walk on the boundary between the feasible and infeasible space. Additionally a new selection scheme is introduced based on a statistical test to evaluate the difference between two solutions given a number of noisy quality values. This selection scheme is described and evaluated on the problem situation.

Original languageEnglish
Title of host publicationComputer Aided Systems Theory, EUROCAST 2009 - 12th International Conference, Revised Selected Papers
Number of pages8
Publication statusPublished - 2009
Event12th International Conference on Computer Aided Systems Theory, EUROCAST 2009 - Las Palmas de Gran Canaria, Spain
Duration: 15 Feb 200920 Feb 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5717 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Conference on Computer Aided Systems Theory, EUROCAST 2009
CityLas Palmas de Gran Canaria


  • Evolutionary algorithms
  • Selection
  • Simulation-based optimization


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