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Experimental Comparison of Two Evolutionary Algorithms for the Independent Set Problem

  • Pavel A. Borisovsky
  • Marina S. Zavolovskaya
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2611)

Abstract

This work presents an experimental comparison of the steady-state genetic algorithm to the (1+1)-evolutionary algorithm applied to the maximum vertex independent set problem. The penalty approach is used for both algorithms and tuning of the penalty function is considered in the first part of the paper. In the second part we give some reasons why one could expect the competitive performance of the (1+1)-EA. The results of computational experiment are presented.

Keywords

Genetic Algorithm Evolutionary Algorithm Penalty Function Infeasible Solution Competitive Performance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Pavel A. Borisovsky
    • 1
  • Marina S. Zavolovskaya
    • 2
  1. 1.Omsk Branch of Sobolev Institute of MathematicsOmskRussia
  2. 2.Mathemetical DepartmentOmsk State UniversityOmskRussia

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