Recent Metaheuristic Computation Schemes in Engineering (Studies in Computational Intelligence) by Cuevas, Erik; Rodr�guez, Alma; Alejo-Reyes, Avelina; Del-Valle-Soto, Carolina: New (2022)

About this Item

1st ed. 2021 edition NO-PA16APR2015-KAP.

Seller Inventory # 26394680587

Contact seller

Report this item

Bibliographic Details

Title: Recent Metaheuristic Computation Schemes in Engineering (Studies in Computational Intelligence)
Publisher: Springer
Publication Date: 2022
Language: English
ISBN 10: 3030660095
ISBN 13: 9783030660093
Binding: Soft cover
Condition: New

About this title

Synopsis

This book includes two objectives. The first goal is to present advances and developments which have proved to be effective in their application to several complex problems. The second objective is to present the performance comparison of various metaheuristic techniques when they face complex optimization problems. The material has been compiled from a teaching perspective. Most of the problems in science, engineering, economics, and other areas can be translated as an optimization or a search problem. According to their characteristics, some problems can be simple that can be solved by traditional optimization methods based on mathematical analysis. However, most of the problems of practical importance in engineering represent complex scenarios so that they are very hard to be solved by using traditional approaches. Under such circumstances, metaheuristic has emerged as the best alternative to solve this kind of complex formulations. This book is primarily intended for undergraduate and postgraduate students. Engineers and application developers can also benefit from the book contents since it has been structured so that each chapter can be read independently from the others, and therefore, only potential interesting information can be quickly available for solving an industrial problem at hand.

From the Back Cover

This book includes two objectives. The first goal is to present advances and developments which have proved to be effective in their application to several complex problems. The second objective is to present the performance comparison of various metaheuristic techniques when they face complex optimization problems. The material has been compiled from a teaching perspective. Most of the problems in science, engineering, economics, and other areas can be translated as an optimization or a search problem. According to their characteristics, some problems can be simple that can be solved by traditional optimization methods based on mathematical analysis. However, most of the problems of practical importance in engineering represent complex scenarios so that they are very hard to be solved by using traditional approaches. Under such circumstances, metaheuristic has emerged as the best alternative to solve this kind of complex formulations. This book is primarily intended for undergraduate and postgraduate students. Engineers and application developers can also benefit from the book contents since it has been structured so that each chapter can be read independently from the others, and therefore, only potential interesting information can be quickly available for solving an industrial problem at hand.

"About this title" may belong to another edition of this title.