Practical Approach to Metaheuristics using LabVIEW and MATLAB®

Practical Approach to Metaheuristics using LabVIEW and MATLAB®

EnglishHardbackPrint on demand
Ponce-Cruz Pedro
Taylor & Francis Ltd
EAN: 9780367494261
Print on demand
Delivery on Tuesday, 9. of July 2024
CZK 2,278
Common price CZK 2,531
Discount 10%
pc
Do you want this product today?
Oxford Bookshop Praha Korunní
not available
Librairie Francophone Praha Štěpánská
not available
Oxford Bookshop Ostrava
not available
Oxford Bookshop Olomouc
not available
Oxford Bookshop Plzeň
not available
Oxford Bookshop Brno
not available
Oxford Bookshop Hradec Králové
not available
Oxford Bookshop České Budějovice
not available

Detailed information

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® 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.

EAN 9780367494261
ISBN 0367494264
Binding Hardback
Publisher Taylor & Francis Ltd
Publication date June 15, 2020
Pages 160
Language English
Dimensions 234 x 156
Country United Kingdom
Readership Tertiary Education
Authors Espinoza, Alexandro Antonio Ortiz; Flores, Efrain Mendez; Gutierrez, Arturo Molina; Ponce-Cruz Pedro; Ramirez-Mendoza, Ricardo A.; Silva, David Christopher Balderas
Illustrations 12 Tables, black and white; 126 Illustrations, black and white
Series Chapman & Hall/CRC Computer and Information Science Series