Nature-Inspired Metaheuristic Algorithms for Engineering Optimization Applications Kartoniert (TB)

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 traditio nal 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.