Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Language: English

Published by Springer, Springer Apr 2022, 2022

981336775X / 9789813367753

Series: Book 12 of 23 - Springer Tracts in Nature-Inspired Computing

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 428 pp. Englisch.

Seller Inventory # 9789813367753

Title
Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
Author
Serdar Carbas
Publisher
Springer, Springer Apr 2022
Publication year
2022
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
981336775X
ISBN 13
9789813367753
Item weight
645 grams
Dimensions
235x155x24 mm
Series
Book 12 of 23: Springer Tracts in Nature-Inspired Computing

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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