Erik Cuevas: 9 books

Book cover of Applications of Evolutionary Computation in Image Processing and Pattern Recognition
by Erik Cuevas, Daniel Zaldívar, Marco Perez-Cisneros
Language: English
Release Date: November 7, 2015

This book presents the use of efficient Evolutionary Computation (EC) algorithms for solving diverse real-world image processing and pattern recognition problems. It provides an overview of the different aspects of evolutionary methods in order to enable the reader in reaching a global understanding...
Book cover of Advances and Applications of Optimised Algorithms in Image Processing
by Diego Oliva, Erik Cuevas
Language: English
Release Date: November 21, 2016

This book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization...
Book cover of Evolutionary Computation Techniques: A Comparative Perspective
by Erik Cuevas, Valentín Osuna, Diego Oliva
Language: English
Release Date: December 28, 2016

This book compares the performance of various evolutionary computation (EC) techniques when they are faced with complex optimization problems extracted from different engineering domains. Particularly focusing on recently developed algorithms, it is designed so that each chapter can be read independently....
Book cover of Advances of Evolutionary Computation: Methods and Operators
by Erik Cuevas, Margarita Arimatea Díaz Cortés, Diego Alberto Oliva Navarro
Language: English
Release Date: January 20, 2016

The goal of this book is to present advances that discuss alternative Evolutionary Computation (EC) developments and non-conventional operators which have proved to be effective in the solution of several complex problems. The book has been structured so that each chapter can be read independently...
Book cover of Engineering Applications of Soft Computing
by Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas
Language: English
Release Date: April 26, 2017

This book bridges the gap between Soft Computing techniques and their applications to complex engineering problems. In each chapter we endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in some of the fields. Therefore,...
Book cover of Advances in Metaheuristics Algorithms: Methods and Applications
by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros
Language: English
Release Date: April 10, 2018

This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their...
Book cover of New Advancements in Swarm Algorithms: Operators and Applications
by Erik Cuevas, Fernando Fausto, Adrián González
Language: English
Release Date: April 2, 2019

This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities,...
Book cover of Metaheuristics Algorithms in Power Systems
by Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez
Language: English
Release Date: January 11, 2019

This book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms...
Book cover of Recent Metaheuristics Algorithms for Parameter Identification
by Erik Cuevas, Jorge Gálvez, Omar Avalos
Language: English
Release Date: September 3, 2019

This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic techniques and interesting...
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