Differential Evolution A Practical Approach to Global Optimization /

Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is e...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Price, Kenneth (Autor), Storn, Rainer M. (Autor), Lampinen, Jouni A. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Natural Computing Series,
Temas:
Mathematical optimization.
Software engineering.
Computer science.
Algorithms.
Numerical analysis.
Artificial intelligence.
Optimization.
Software Engineering.
Theory of Computation.
Numerical Analysis.
Artificial Intelligence.
Acceso en línea:Texto Completo
Descripción
Sumario:Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization.
Descripción Física:XIX, 539 p. online resource.
ISBN:9783540313069
ISSN:2627-6461

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