Recent metaheuristic computation schemes in engineering / Erik Cuevas, Alma Rodríguez, Avelina Alejo-Reyes, Carolina Del-Valle-Soto.
2021
QA76.9.A43 C84 2021eb
Linked e-resources
Linked Resource
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Recent metaheuristic computation schemes in engineering / Erik Cuevas, Alma Rodríguez, Avelina Alejo-Reyes, Carolina Del-Valle-Soto.
Author
ISBN
9783030660079 (electronic bk.)
3030660079 (electronic bk.)
3030660060
9783030660062
3030660079 (electronic bk.)
3030660060
9783030660062
Published
Cham : Springer, 2021.
Copyright
©2021
Language
English
Description
1 online resource (xi, 277 pages)
Item Number
10.1007/978-3-030-66007-9 doi
Call Number
QA76.9.A43 C84 2021eb
Dewey Decimal Classification
518/.1
Summary
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.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 17, 2021).
Added Author
Series
Studies in computational intelligence ; v. 948.
Available in Other Form
Linked Resources
Record Appears in
Table of Contents
Introductory Concepts of Metaheuristic Computation
A Metaheuristic Scheme Based on the Hunting Model of Yellow Saddle Goatfish
Metaheuristic Algorithm Based on Hybridization of Invasive Weed Optimization asnd Estimation Distribution Methods
Corner Detection Algorithm Based on Cellular Neural Networks (CNN) and Differential Evolution (DE)
Clustering Model Based on the Human Visual System
Metaheuristic Algorithms for Wireless Sensor Networks
Metaheuristic Algorithms Applied to the Inventory Problem.
A Metaheuristic Scheme Based on the Hunting Model of Yellow Saddle Goatfish
Metaheuristic Algorithm Based on Hybridization of Invasive Weed Optimization asnd Estimation Distribution Methods
Corner Detection Algorithm Based on Cellular Neural Networks (CNN) and Differential Evolution (DE)
Clustering Model Based on the Human Visual System
Metaheuristic Algorithms for Wireless Sensor Networks
Metaheuristic Algorithms Applied to the Inventory Problem.