Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
Nature-Inspired Metaheuristic Algorithm
| Autor: | Serdar Carbas / Abdurrahim Toktas / Deniz Ustun |
|---|---|
| Verfügbarkeit: | Auf Lager. |
| Veröffentlicht am: | 15.04.2022 |
| Artikelnummer: | 2504819 |
| ISBN / EAN: | 9789813367753 |
Produktbeschreibung
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 | Verlag | Springer, Berlin |
|---|---|---|---|
| ISBN / EAN | 9789813367753 | Bindung | Taschenbuch |
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