[DOWNLOAD] ~ Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications " by Serdar Carbas, Abdurrahim Toktas & Deniz Ustun ~ eBook PDF Kindle ePub Free
eBook details
- Title: Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications
- Author : Serdar Carbas, Abdurrahim Toktas & Deniz Ustun
- Release Date : January 31, 2021
- Genre: Engineering,Books,Professional & Technical,Computers & Internet,Computers,Science & Nature,Mathematics,Programming,
- Pages : * pages
- Size : 67393 KB
Description
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.