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An analysis of the interacting roles of population size and crossover in genetic algorithms
Home
Publications
An analysis of the interacting roles of population size and crossover in genetic algorithms
An analysis of the interacting roles of population size and crossover in genetic algorithms
Kenneth A. De Jong
Kenneth A. De Jong
William M. Spears
William M. Spears
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1 January 1991
book chapter
Published by
Springer Science and Business Media LLC
p.
38-47
https://doi.org/10.1007/bfb0029729
Abstract
No abstract available
Keywords
POINT CROSSOVER
INTERACTING ROLES
GENETIC ALGORITHMS
POPULATION SIZE AND CROSSOVER
THEORETICAL
Cited by 114 articles