MCPC: another approach to crossover in genetic algorithms

Genetic algorithms (GAs) are stochastic adaptive algorithms whose search method is based on simulation of natural genetic inheritance and Darwinian strive for survival. They can be used to find approximate solutions to numerical optimization problems in cases where finding the exact optimum is prohi...

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Detalles Bibliográficos
Autores principales: Esquivel, Susana Cecilia, Gallard, Raúl Hector, Michalewicz, Zbigniew
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 1995
Materias:
Ciencias Informáticas
Algorithms
genetic algorithms
genetic operators
crossover
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/24282
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-24282
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Algorithms
genetic algorithms
genetic operators
crossover
spellingShingle Ciencias Informáticas
Algorithms
genetic algorithms
genetic operators
crossover
Esquivel, Susana Cecilia
Gallard, Raúl Hector
Michalewicz, Zbigniew
MCPC: another approach to crossover in genetic algorithms
topic_facet Ciencias Informáticas
Algorithms
genetic algorithms
genetic operators
crossover
description Genetic algorithms (GAs) are stochastic adaptive algorithms whose search method is based on simulation of natural genetic inheritance and Darwinian strive for survival. They can be used to find approximate solutions to numerical optimization problems in cases where finding the exact optimum is prohibitively expensive, or where . no algorithm is known. The main operator, which is the driving force of genetic algorithms, IS crossover. It combines the features of two parents and produces two offspring. This paper propases a Multiple Crossover Per Couple (MCPC) approach as an altemate method for crossover operators.
format Objeto de conferencia
Objeto de conferencia
author Esquivel, Susana Cecilia
Gallard, Raúl Hector
Michalewicz, Zbigniew
author_facet Esquivel, Susana Cecilia
Gallard, Raúl Hector
Michalewicz, Zbigniew
author_sort Esquivel, Susana Cecilia
title MCPC: another approach to crossover in genetic algorithms
title_short MCPC: another approach to crossover in genetic algorithms
title_full MCPC: another approach to crossover in genetic algorithms
title_fullStr MCPC: another approach to crossover in genetic algorithms
title_full_unstemmed MCPC: another approach to crossover in genetic algorithms
title_sort mcpc: another approach to crossover in genetic algorithms
publishDate 1995
url http://sedici.unlp.edu.ar/handle/10915/24282
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AT gallardraulhector mcpcanotherapproachtocrossoveringeneticalgorithms
AT michalewiczzbigniew mcpcanotherapproachtocrossoveringeneticalgorithms
bdutipo_str Repositorios
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