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Advances of Evolutionary Computation: Methods and Operators
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 from the others. The book contains nine chapters with the following themes: 1) Introduction, 2) the Social Spider Optimization (SSO), 3) the States of Matter Search (SMS), 4) the collective animal behavior (CAB) algorithm, 5) the Allostatic Optimization (AO) method, 6) the Locust Search (LS) algorithm, 7) the Adaptive Population with Reduced Evaluations (APRE) method, 8) the multimodal CAB, 9) the constrained SSO method.
Engineering Applications of Soft Computing
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, engineers or practitioners who are not familiar with Soft Computing methods will appreciate that the techniques discussed go beyond simple theoretical tools, since they have been adapted to solve significant problems that commonly arise in such areas. At the same time, the book will show members of the Soft Computing community how engineering problems are now being solved and handled with the help of intelligent approaches. Highlighting new applications and implementations of Soft Computing approaches in various engineering contexts, the book is divided into 12 chapters. Further, it has been structured so that each chapter can be read independently of the others.
Deep Learning: teoría y aplicaciones
Deep Learning es, en gran medida, el causante de la revolución actual en el campo de la inteligencia artificial. Podría parecer una tecnología nueva, sin embargo, es esencialmente la evolución de las redes neuronales artificiales, que tienen más de 60 años en el área de la inteligencia artificial. Si desea conocer el desarrollo de Deep Learning desde su origen, este es el libro indicado. Deep Learning, teorías y aplicaciones se ha concebido para dar una introducción general, incluyendo un barrido histórico por los progresos que dieron origen a esta tecnología. Parte de las redes neuronales clásicas como las monocapa y sigue por las superficiales hasta llegar a las profundas, como...
Optimización de Algoritmos programados con MATLAB
Optimización. Algoritmos programados con MATLAB es un libro de texto para estudiantes y profesionales en las áreas de ciencias de la computación, inteligencia artificial, investigación de operaciones, matemáticas aplicadas y control de calidad. El principal objetivo de este libro es brindar una visión unificada de los métodos de cómputo evolutivo, de tal forma que se presentan los principios de diseño así como los operadores de los enfoques evolutivos fundamentales, además de que se considera su implementación por medio de la programación con MATLAB. El lector conocerá los conceptos necesarios para desarrollar y modificar los métodos de cómputo evolutivo con el fin de obtener...
Type-2 Fuzzy Logic: Theory and Applications
This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. This book is intended to be a major reference tool and can be used as a textbook.
Environmental Governance in Latin America
This book is open access under a CC-BY license. The multiple purposes of nature – livelihood for communities, revenues for states, commodities for companies, and biodiversity for conservationists – have turned environmental governance in Latin America into a highly contested arena. In such a resource-rich region, unequal power relations, conflicting priorities, and trade-offs among multiple goals have led to a myriad of contrasting initiatives that are reshaping social relations and rural territories. This edited collection addresses these tensions by unpacking environmental governance as a complex process of formulating and contesting values, procedures and practices shaping the access, control and use of natural resources. Contributors from various fields address the challenges, limitations, and possibilities for a more sustainable, equal, and fair development. In this book, environmental governance is seen as an overarching concept defining the dynamic and multi-layered repertoire of society-nature interactions, where images of nature and discourses on the use of natural resources are mediated by contextual processes at multiple scales.
Advances and Applications of Optimised Algorithms in Image Processing
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 are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing communities.
Metaheuristics in Machine Learning: Theory and Applications
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.
Advances in Applied Analysis
This book contains survey papers based on the lectures presented at the 3rd International Winter School “Modern Problems of Mathematics and Mechanics” held in January 2010 at the Belarusian State University, Minsk. These lectures are devoted to different problems of modern analysis and its applications. An extended presentation of modern problems of applied analysis will enable the reader to get familiar with new approaches of mostly interdisciplinary character. The results discussed are application oriented and present new insight into applied problems of growing importance such as applications to composite materials, anomalous diffusion, and fluid dynamics.
Medical Infrared Imaging
The evolution of technological advances in infrared sensor technology, image processing, "smart" algorithms, knowledge-based databases, and their overall system integration has resulted in new methods of research and use in medical infrared imaging. The development of infrared cameras with focal plane arrays no longer requiring cooling, added a new dimension to this modality. Medical Infrared Imaging: Principles and Practices covers new ideas, concepts, and technologies along with historical background and clinical applications. The book begins by exploring worldwide advances in the medical applications of thermal imaging systems. It covers technology and hardware including detectors, detect...
