Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Language: English

Published by Springer, 2021

9813367725 / 9789813367722

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

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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. Sprache: Englisch Gewicht in Gramm: 753.…

Title
Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
Publisher
Springer
Publication year
2021
Condition
Neu
Binding
Gebundene Ausgabe
Language
English
ISBN 10
9813367725
ISBN 13
9789813367722
Item weight
753 grams
Series
Book 12 of 23: Springer Tracts in Nature-Inspired Computing

Home-set

Mannheim, Germany

5-star seller

AbeBooks seller since April 13, 2026

Shipping rates from Germany to U.S.A.

Item10 to 12 business days8 to 10 business days
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Home-set

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