Title :
Multiple Crossover Per Couple in genetic algorithms
Author :
Esquivel, S.C. ; Leiva, A.
Author_Institution :
Grupo de Interes en Sistemas de Comput., Univ. Nacional de San Luis
Abstract :
Conventional approaches to crossover apply the operator only once on the selected pair of parents, to create precisely two offspring. Multiple Crossover Per Couple (MCPC) is an alternative, recently proposed (S. Esquivel et al., 1995), approach under which more than one crossover operation for each mating pair is allowed. The paper shows the empirical results obtained with genetic algorithms allowing MCPC when searching for minimum global values for a set of hard functions
Keywords :
genetic algorithms; genetics; search problems; Multiple Crossover Per Couple; crossover operation; genetic algorithms; hard functions; mating pair; minimum global values; searching; Algorithm design and analysis; Biological cells; Councils; Genetic algorithms; Genetic mutations; Proposals; Size control; Testing;
Conference_Titel :
Evolutionary Computation, 1997., IEEE International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
0-7803-3949-5
DOI :
10.1109/ICEC.1997.592277
