Title :
An analysis on linear crossover for real number chromosomes in an infinite population size
Author_Institution :
Evolutionary Syst. Dept., ATR Human Inf. Process. Res. Labs., Kyoto, Japan
Abstract :
The article presents an approach for mathematical analysis of genetic algorithms with real number chromosomes. We focus our attention on crossovers using a linear combination of the elements on the locus and verify the property in the change of the distribution of the chromosomes. This framework includes the average crossover and the Unfair Average Crossover we have proposed. We apply this result to these crossover methods
Keywords :
genetic algorithms; genetics; probability; search problems; Unfair Average Crossover; crossover methods; genetic algorithms; infinite population size; linear combination; linear crossover analysis; mathematical analysis; real number chromosomes; Algorithm design and analysis; Biological cells; Convergence; Evolutionary computation; Genetic algorithms; Humans; Information analysis; Information processing; Laboratories; State-space methods;
Conference_Titel :
Evolutionary Computation, 1997., IEEE International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
0-7803-3949-5
DOI :
10.1109/ICEC.1997.592279
