Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Carbas, Serdar
Toktas, Abdurrahim
Ustun, Deniz

Hardcover

Series: Springer Tracts in Nature-Inspired Computing

Technology & EngineeringGeneral MathematicsProgramming

ISBN10: 9813367725
ISBN13: 9789813367722
Publisher: Springer Nature
Published: Apr 1 2021
Pages: 404
Weight: 1.70
Height: 0.94 Width: 6.14 Depth: 9.21
Language: English
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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