CRC Press A Practical Approach to Metaheuristics using LabVIEW and MATLAB® (Chapman & Hall/CRC Computer and Information Science Series)

Product 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® 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. About the Author Dr. Pedro Ponce is a Senior Researcher Scientist and member of the Product In- novation Research Group at Teccnologico de Monterrey in Mexico City. He received the B.Eng. degree in Automation and Control, the M.Sc. and Ph.D. degree in Electri- cal Engineering focused on Automatic Control Systems, respectively. He worked for more than 12 years as a field and design engineer in Control Systems and Automation. Also, He has authored and co-authored more than 100 research articles, 14 books, and 6 inventions, including one US Patent. His research interests include Mechatronics, Control Systems, Smart Grids, Machine Learning, Product Design, Optimization, Electric Engineering, Education and Artificial Intelligence. He is a member of the Mexican National Researchers System, and Mexican Academy of science. Besides, He is an associate editor in the international journal of advanced robotics systems and the international journal on interactive design and manufacturing. Dr. Arturo Molina is Vice President of Research and Technology Transfer and Pro- fessor from Tecnologico de Monterrey University in Mexico. He received the B.Eng. degree in computational systems and the M.Eng. degree in computational sciences from the Tecnologico de Monterrey and his PhD degree in Manufacturing Engineer- ing at Loughborough University of Technology and his University Doctor degree in Mechanical Engineering at the Technical University of Budapest, Hungary. He has co-authored more than 300 research articles and several inventions. His current research interests include concurrent engineering technologies and manufacturing, enterprise integration engineering, technology management he has applied research and development for the economic sectors of automotive, construction and energy. He is a member of the Mexican National Researchers System, the Mexican Academy of Science and the Mexican Academy of Engineering. Dr. Ricardo A. Ramírez-Mendoza received a Ph.D. degree from INPG, France in1997. He is now Professor of Mechatronics and Mechanics Engineering and Dean of Research, National School of Engineering and Science at the Tecnologico de Mon- terrey within School of Engineering and Science. His main research interests include applications of advanced control to automotiv