Crossover operators that improve offspring fitness

Research output: Contribution to conferencePaper

1 Scopus citations

Abstract

Fine-honing the crossover operator to produce higher fitness children is shown to result in improved genetic search. To illustrate this, two new general-purpose crossover operators are described. These operators require more computation time than traditional crossover operators, but the number of fitness evaluations and the overall amount of time spent by the genetic algorithm (to obtain solutions of desired near-optimal quality) is reduced significantly.

Original languageEnglish (US)
Pages1542-1549
Number of pages8
DOIs
StatePublished - Jan 1 1999
Event1999 Congress on Evolutionary Computation, CEC 1999 - Washington, DC, United States
Duration: Jul 6 1999Jul 9 1999

Other

Other1999 Congress on Evolutionary Computation, CEC 1999
CountryUnited States
CityWashington, DC
Period7/6/997/9/99

ASJC Scopus subject areas

  • Computational Mathematics

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    Mohan, C. K. (1999). Crossover operators that improve offspring fitness. 1542-1549. Paper presented at 1999 Congress on Evolutionary Computation, CEC 1999, Washington, DC, United States. https://doi.org/10.1109/CEC.1999.782667