Crossover versus Mutation: A Comparative Analysis of the Evolutionary Strategy of Genetic Algorithms Applied to Combinatorial Optimization Problems

Since their first formulation, genetic algorithms (GAs) have been one of the most widely used techniques to solve combinatorial optimization problems. The basic structure of the GAs is known by the scientific community, and thanks to their easy application and good performance, GAs are the focus of...

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Detalles Bibliográficos
Autores principales: Osaba, E., Carballedo, R., Diaz, F., Onieva, E., de la Iglesia, I., Perallos, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4137700/
https://www.ncbi.nlm.nih.gov/pubmed/25165731
http://dx.doi.org/10.1155/2014/154676

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4137700/
https://www.ncbi.nlm.nih.gov/pubmed/25165731
http://dx.doi.org/10.1155/2014/154676

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