Self-adaptation of parameters for MCPC in genetic algorithms

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As a new promising crossover method, multiple crossovers per couple (MCPC) deserves special attention in evolutionary computing field. Allowing multiple crossovers per couple on a selected pair of parents provided an extra benefit in processing time and similar quality of solutions when contrasted a...

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Detalles Bibliográficos
Autores principales: Esquivel, Susana Cecilia, Leiva, Héctor Ariel, Gallard, Raúl Hector
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 1998
Materias:
Ciencias Informáticas
Informática
Biology and genetics
Self-assessment
Selection process
genetic algorithms
self-adaptation
crossover
function optimization
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/24822
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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