
A Practical Approach to Metaheuristics using LabVIEW and MATLAB (R)
Chapman & Hall/CRC (Publisher)
1st Edition
Published on 15. June 2020
Book
Paperback/Softback
160 pages
978-0-367-33704-9 (ISBN)
Description
Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However, when those algorithms are implemented, there are not enough books that deal with theoretical and experimental problems in a friendly manner so this book presents a novel structure that includes a complete description of the most important metaheuristic optimization algorithms as well as a new proposal of a new metaheuristic optimization named earthquake optimization. This book also has several practical exercises and a toolbox for MATLAB (R) and a toolkit for LabVIEW are integrated as complementary material for this book. These toolkits allow readers to move from a simulation environment to an experimentation one very fast. This book is suitable for researchers, students, and professionals in several areas, such as economics, architecture, computer science, electrical engineering, and control systems.
The unique features of this book are as follows:
Developed for researchers, undergraduate and graduate students, and practitioners
A friendly description of the main metaheuristic optimization algorithms
Theoretical and practical optimization examples
A new earthquake optimization algorithm
Updated state-of-the-art and research optimization projects
The authors are multidisciplinary/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this book.
The unique features of this book are as follows:
Developed for researchers, undergraduate and graduate students, and practitioners
A friendly description of the main metaheuristic optimization algorithms
Theoretical and practical optimization examples
A new earthquake optimization algorithm
Updated state-of-the-art and research optimization projects
The authors are multidisciplinary/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this book.
More details
Series
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
126 s/w Abbildungen, 12 s/w Tabellen
12 Tables, black and white; 126 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 10 mm
Weight
295 gr
ISBN-13
978-0-367-33704-9 (9780367337049)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Pedro Ponce-Cruz | Arturo Molina Gutierrez | Ricardo A. Ramirez-Mendoza
A Practical Approach to Metaheuristics using LabVIEW and MATLAB (R)
Book
06/2020
1st Edition
Chapman & Hall/CRC
€115.80
Shipment within 15-20 days

Pedro Ponce-Cruz | Arturo Molina Gutierrez | Ricardo A. Ramirez-Mendoza
A Practical Approach to Metaheuristics using LabVIEW and MATLAB (R)
E-Book
06/2020
1st Edition
Chapman & Hall/CRC
€78.99
Available for download

Pedro Ponce-Cruz | Arturo Molina Gutierrez | Ricardo A. Ramirez-Mendoza
A Practical Approach to Metaheuristics using LabVIEW and MATLAB (R)
E-Book
06/2020
1st Edition
Chapman & Hall/CRC
€78.99
Available for download
Persons
Pedro Ponce-Cruz, Arturo Molina Gutierrez, Ricardo A. Ramirez-Mendoza, Efrain Mendez Flores, Alexandro Antonio Ortiz Espinoza, David Christopher Balderas Silva
Author
Tecnologico de Monterrey, Mexico
Tecnologico de Monterrey, Mexico
Tecnologico de Monterrey, Mexico
Tecnologico de Monterrey, Mexico
Content
1. Fundamental Concepts of Optimization
2. Software fundamentals for optimization
3. Basis Meaheuristic Optimization algorithms
4. Evolution Algorithms
5. Memetic Algorithms
6. Geological Optimization
7. Optimization Matlab App and Labview Toolkit
8. Equations and Ongoing Projects
2. Software fundamentals for optimization
3. Basis Meaheuristic Optimization algorithms
4. Evolution Algorithms
5. Memetic Algorithms
6. Geological Optimization
7. Optimization Matlab App and Labview Toolkit
8. Equations and Ongoing Projects