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Influence of the mutation operator on the solution of an inverse Stefan problem by genetic algorithms

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6 Citations (Scopus)

Abstract

This paper presents the influence of choice of the mutation operator on the accuracy of a solution of a two-phase design inverse Stefan problem using genetic algorithms. In the problem to be solved, the coefficient of convective heat transfer on one boundary had to be so selected that the moving interface of the phase change (freezing front) would take the given position.

Original languageEnglish
Title of host publicationComputational Science - ICCS 2006
Subtitle of host publication6th International Conference, Proceedings
PublisherSpringer Verlag
Pages786-789
Number of pages4
ISBN (Print)3540343792, 9783540343790
DOIs
Publication statusPublished - 2006
EventICCS 2006: 6th International Conference on Computational Science - Reading, United Kingdom
Duration: 28 May 200631 May 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3991 LNCS - I
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceICCS 2006: 6th International Conference on Computational Science
Country/TerritoryUnited Kingdom
CityReading
Period28/05/0631/05/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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