This book encompasses three distinct yet interconnected objectives. Firstly, it aims to present and elucidate novel metaheuristic algorithms that feature innovative search mechanisms, setting them apart from conventional metaheuristic methods. Secondly, this book endeavors to systematically assess the performance of well-established algorithms across a spectrum of intricate and real-world problems. Finally, this book serves as a vital resource for the analysis and evaluation of metaheuristic algorithms. It provides a foundational framework for assessing their performance, particularly in terms of the balance between exploration and exploitation, as well as their capacity to obtain optimal solutions. Collectively, these objectives contribute to advancing our understanding of metaheuristic methods and their applicability in addressing diverse and demanding optimization tasks. The materials were compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Additionally, engineering practitioners who are not familiar with metaheuristic computation concepts will appreciate that the techniques discussed are beyond simple theoretical tools because they have been adapted to solve significant problems that commonly arise in engineering areas.
Series
Language
Place of publication
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
44 s/w Abbildungen, 39 farbige Abbildungen
XV, 297 p. 83 illus., 39 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 18 mm
Weight
ISBN-13
978-3-031-63055-2 (9783031630552)
DOI
10.1007/978-3-031-63053-8
Schweitzer Classification
Dr. Erik Cuevas received his B.S. degree with distinction in Electronics and Communications Engineering from the University of Guadalajara, Mexico, in 1995, the M.Sc. degree in Industrial Electronics from ITESO, Mexico, in 2000, and the Ph.D. degree from Freie Universität Berlin, Germany in 2006. Since 2006 he has been with the University of Guadalajara, where he is currently a full-time Professor in the Department of Computer Science. Since 2008, he is a member of the Mexican National Research System (SNI III). He is the author of several books and articles. A list of his books and publications can be seen in the CV attached to this application. His current research interest includes Meta-heuristics, computer vision, and mathematical methods. He serves as an editor in Expert System with Applications, ISA Transactions, and Applied Soft Computing, Applied Mathematical Modeling and Mathematics and Computers in Simulation.
Alma Rodriguez earned her Bachelor of Science in Industrial Engineering and her Master's degree from CETI, Mexico, in 2005 and 2007, respectively. She went on to achieve her Doctorate in Engineering from the Universidad de Guadalajara, located in Guadalajara, Mexico, in 2021. Dr. Rodriguez has made her mark as an author of numerous engineering-related scientific publications. She contributed as a co-author to the publication "Recent Metaheuristic Computation Schemes in Engineering," released by Springer International Publishing. Her research primarily focuses on the areas of Metaheuristic Algorithms, Supplier Selection, Inventory Theory, and the broader field of optimization.Beatriz Rivera received a B.S. degree with distinction in Computer Engineering from UNIVA, México, a M.Sc. degree in Engineering Systems from UANL, México. Since 2014, she has been with The University of Guadalajara, where she is currently a Professor and enrolled in the Ph.D. program in Electronics and Computer Science. Her current research interests are metaheuristic algorithms and artificial intelligence.
Jesús López obtained a bachelor's degree in Communications and Electronics Engineering in 2009 and a Master of Science degree in Electronic and Computer Engineering in 2014 from Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI) of the University of Guadalajara, Mexico. He is currently pursuing a Ph. D. in Science degree in Electronic and Computer Engineering from 2021 at the University of Guadalajara. Collaborator in the development of two patents: "Magnetic levitator system for balancing a biped robot" and "Variable transmission system based on gear assemblies forming a truncated sphere". His research interests include metaheuristics algorithms, artificial intelligence, robotics topics, artificial vision, and their applications.
Carlos Guzmán received the bachelor's degree in Mechatronics Engineering from Universidad Politécnica de Sinaloa, Mexico in 2020 and a M.Sc. degree in Electronic and Computer Engineering in 2023 from the University of Guadalajara, Mexico. He is currently pursuing a Ph.D degree in Electronics and Computer Science at the University of Guadalajara, Mexico. His research interests include artificial vision and their applications.
