Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications

Serdar Carbas (Curatore)

Abdurrahim Toktas (Curatore)

Springer Verlag, Singapore, 2021

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.

• Curatore: Serdar Carbas, Abdurrahim Toktas
• Editore: Springer Verlag, Singapore
• Collana: Springer Tracts in Nature-Inspired Computing
• Anno: 2021
• Rilegatura: Hardback
• Pagine: 404 p.
• Dimensioni: 235 x 155 mm
• EAN: 9789813367722

Testo in English