Anand J. (MIT World Peace University, Pune, India) Kulkarni & Patrick (Universite Paris-Est Creteil, France) Siarry 
Handbook of AI-based Metaheuristics 

Soporte

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms.


The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms.


This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and Ph D students working in the metaheuristics and applications domains.

€257.45
Métodos de pago
¡Compre este libro electrónico y obtenga 1 más GRATIS!
Formato PDF ● Páginas 418 ● ISBN 9781000434248 ● Editor Anand J. (MIT World Peace University, Pune, India) Kulkarni & Patrick (Universite Paris-Est Creteil, France) Siarry ● Editorial CRC Press ● Publicado 2021 ● Descargable 3 veces ● Divisa EUR ● ID 8520385 ● Protección de copia Adobe DRM
Requiere lector de ebook con capacidad DRM

Más ebooks del mismo autor / Editor

46.794 Ebooks en esta categoría