Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Autor:

Serdar Carbas Abdurrahim Toktas Deniz Ustun

Verfügbarkeit:

Auf Lager.

Veröffentlicht am:

15.04.2022

Artikelnummer:

2504819

219,99 €

Versandkosten

Produktbeschreibung

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

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.
Zusatzinformation

Autor

Serdar Carbas / Abdurrahim Toktas / Deniz Ustun

Bindung

Taschenbuch

Verlag

Springer, Berlin

ISBN / EAN

9789813367753

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