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Experimental supplements to the theoretical analysis of EAs on problems from combinatorial optimization

  • Patrick Briest
  • , Dimo Brockhoff
  • , Bastian Degener
  • , Matthias Englert
  • , Christian Gunia
  • , Oliver Heering
  • , Thomas Jansen
  • , Michael Leifhelm
  • , Kai Plociennik
  • , Heiko Röglin
  • , Andrea Schweer
  • , Dirk Sudholt
  • , Stefan Tannenbaum
  • , Ingo Wegener
  • University of Dortmund

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Résumé

It is typical for the EA community that theory follows experiments. Most theoretical approaches use some model of the considered evolutionary algorithm (EA) but there is also some progress where the expected optimization time of EAs is analyzed rigorously. There are only three well-known problems of combinatorial optimization where such an approach has been performed for general input instances, namely minimum spanning trees, shortest paths, and maximum matchings. The theoretical results are asymptotic ones and several questions for realistic dimensions of the search space are open. We supplement the theoretical results by experimental ones. Many hypotheses are confirmed by rigorous statistical tests.

langue originaleAnglais
titreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
rédacteurs en chefXin Yao, John A. Bullinaria, Jonathan Rowe, Peter Tino, Ata Kaban, Edmund Burke, Jose A. Lozano, Jim Smith, Juan J. Merelo-Guervos, Hans-Paul Schwefel
EditeurSpringer Verlag
Pages21-30
Nombre de pages10
ISBN (imprimé)3540230920, 9783540230922
Les DOIs
étatPublié - 1 janv. 2004
Modification externeOui

Série de publications

NomLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3242
ISSN (imprimé)0302-9743
ISSN (Electronique)1611-3349

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