Evolutionary computation in stochastic environments

This book develops efficient methods for the application of Evolutionary Algorithms on stochastic problems. To achieve this, procedures for statistical selection are systematically analyzed with respect to different measures and significantly improved. It is shown how to adapt one of the best proced...

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Detalles Bibliográficos
Otros Autores: Schmidt, Christian (auth)
Formato: Libro electrónico
Idioma:Inglés
Publicado: KIT Scientific Publishing 2007
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009424853806719
Descripción
Sumario:This book develops efficient methods for the application of Evolutionary Algorithms on stochastic problems. To achieve this, procedures for statistical selection are systematically analyzed with respect to different measures and significantly improved. It is shown how to adapt one of the best procedures for the needs of Evolutionary Algorithms and Evolutionary operators for efficient implementation in stochastic environments are identified.
Descripción Física:1 electronic resource (VII, 128 p. p.)