Crossover operators that improve offspring fitness

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations


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)
Number of pages8
StatePublished - 1999
Externally publishedYes
Event1999 Congress on Evolutionary Computation, CEC 1999 - Washington, DC, United States
Duration: Jul 6 1999Jul 9 1999


Other1999 Congress on Evolutionary Computation, CEC 1999
Country/TerritoryUnited States
CityWashington, DC

ASJC Scopus subject areas

  • Computational Mathematics


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