Electronic Resource

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

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Penilaian

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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 application contexts. The book is a perfect guide for graduate students, researchers, academicians, and professionals willing to use metaheuristic algorithms in engineering optimization applications.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1401001660	EB0001170	005.13 Nat	Central Library	Available

Detail Information

Series Title

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Call Number

005.13 Nat

Publisher

Singapore : Springer Singapore., 2022

Collation

XII, 404p.:Ill

Language

English

ISBN/ISSN

978-981-33-6773-9

Classification

005.13

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

-

Subject(s)

Metaheuristics

Specific Detail Info

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Statement of Responsibility

BRF

Other version/related

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