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Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

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Éditeur :

Springer


Collection :

Springer Tracts in Nature-Inspired Computing

Paru le : 2021-03-31

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Description
This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions of tiresome engineering design problems that cannot be efficiently resolved via conventional mathematical-based techniques. Thus, the chapters report on advanced studies on the applications of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge, grasshopper, backtracking search, and interactive search are just some of the methods exhibited and consulted step by step in applicationcontexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.
Pages
404 pages
Collection
Springer Tracts in Nature-Inspired Computing
Parution
2021-03-31
Marque
Springer
EAN papier
9789813367722
EAN PDF
9789813367739
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
20019 Ko
Prix
210,99 €
EAN EPUB
9789813367739
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
40
Taille du fichier
65044 Ko
Prix
210,99 €

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