Effective allele preservation by offspring selection: An empirical study for the TSP

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Abstract

The basic selection ideas of the different representatives of evolutionary algorithms are sometimes quite diverse. The selection concept of genetic algorithms (GAs) and genetic programming (GP) is basically realized by the selection of above-average parents for reproduction whereas evolution strategies (ES) use the fitness of newly evolved offspring as the basis for selection (survival of the fittest due to birth surplus). This contribution considers aspects of population genetics and Evolution Strategies in order to propose an enhanced and generic selection model for Genetic Algorithms which is able to preserve the alleles which are part of a high quality solution. Some selected aspects of these enhanced techniques are discussed exemplarily on the basis of travelling salesman benchmark (TSP) benchmark problem instances.

Original languageEnglish
Title of host publication20th European Modeling and Simulation Symposium, EMSS 2008
Pages59-68
Number of pages10
Publication statusPublished - 2008
Event20th European Modeling and Simulation Symposium, EMSS 2008 - Campora San Giovanni, Amantea, CS, Italy
Duration: 17 Sep 200819 Sep 2008

Publication series

Name20th European Modeling and Simulation Symposium, EMSS 2008

Conference

Conference20th European Modeling and Simulation Symposium, EMSS 2008
CountryItaly
CityCampora San Giovanni, Amantea, CS
Period17.09.200819.09.2008

Keywords

  • Evolutionary computation
  • Selection
  • Self adaptation
  • Softcomputing

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