Into a Deeper Understanding of Evolutionary Computing: Exploration, Exploitation, and Parameter Control [electronic resource] : Volume 1 / by Abdul Hanif Abdul Halim, Swagatam Das, Idris Ismail.

Por: Abdul Halim, Abdul Hanif [author.]Colaborador(es): Das, Swagatam [author.] | Ismail, Idris [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Emergence, Complexity and Computation ; 50Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XX, 312 p. 153 illus., 15 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031740138Tema(s): Computational intelligence | Artificial intelligence | Computational Intelligence | Artificial IntelligenceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
Algorithm initialization categories and assessment -- Fundamental Tradeoffs between exploration and exploitation search mechanisms -- Distributions and Functions Driven.
En: Springer Nature eBookResumen: This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the vital balance between exploration and exploitation search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes crucial for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages, offering a comprehensive discussion of various approaches supported by extensive literature.
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Algorithm initialization categories and assessment -- Fundamental Tradeoffs between exploration and exploitation search mechanisms -- Distributions and Functions Driven.

This book delves into fundamental and advanced strategies for enhancing evolutionary and metaheuristic algorithms, focusing on the vital balance between exploration and exploitation search mechanisms. As technological advancements increase optimization complexity, effectively managing this balance becomes crucial for achieving optimal solutions within reasonable computational resources. The book's distinctive structure organizes content according to optimization stages, offering a comprehensive discussion of various approaches supported by extensive literature.

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