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Towards a New Evolutionary Computation
Estimation of Distribution Algorithms (EDAs) are a set of algorithms in the Evolutionary Computation (EC) field characterized by the use of explicit probability distributions in optimization. Contrarily to other EC techniques such as the broadly known Genetic Algorithms (GAs) in EDAs, the crossover and mutation operators are substituted by the sampling of a distribution previously learnt from the selected individuals. EDAs have experienced a high development that has transformed them into an established discipline within the EC field. This book attracts the interest of new researchers in the EC field as well as in other optimization disciplines, and that it becomes a reference for all of us working on this topic. The twelve chapters of this book can be divided into those that endeavor to set a sound theoretical basis for EDAs, those that broaden the methodology of EDAs and finally those that have an applied objective.
The Successor
Make-or-break decisions involving millions of dollars are all in a day’s work for Christian Gillette, chairman of Everest Capital, New York’s most renowned private equity firm. He’s taken on the toughest, most powerful, and often most dangerous adversaries and prevailed–all the while honing his skill for being cool under fire, literally. But now Gillette will be put to the ultimate test. He’s offered the chance to seal a deal unlike any other, one that goes beyond boardrooms, balance sheets, and even Everest itself–one that will leave its mark on history. Gillette is no stranger to Jesse Wood, the first African American president of the United States, having been Wood’s chosen ...
Pattern Recognition and Image Analysis
This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019. The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation. Part II: biometrics; handwriting and document analysis; other applications.
Applications of Hybrid Metaheuristic Algorithms for Image Processing
This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.
Mexicans in the Making of America
A Choice Outstanding Academic Title of the Year According to census projections, by 2050 nearly one in three U.S. residents will be Latino, and the overwhelming majority of these will be of Mexican descent. This dramatic demographic shift is reshaping politics, culture, and fundamental ideas about American identity. Neil Foley, a leading Mexican American historian, offers a sweeping view of the evolution of Mexican America, from a colonial outpost on Mexico’s northern frontier to a twenty-first-century people integral to the nation they have helped build. “Compelling...Readers of all political persuasions will find Foley’s intensively researched, well-documented scholarly work an instr...
MICAI 2009: Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the 8th Mexican International Conference on Artificial Intelligence, MICAI 2009, held in Guanajuato, Mexico, in November 2009. The 63 revised full papers presented together with one invited talk were carefully reviewed and selected from 215 submissions. The papers are organized in topical sections on logic and reasoning, ontologies, knowledge management and knowledge-based systems, uncertainty and probabilistic reasoning, natural language processing, data mining, machine learning, pattern recognition, computer vision and image processing, robotics, planning and scheduling, fuzzy logic, neural networks, intelligent tutoring systems, bioinformatics and medical applications, hybrid intelligent systems and evolutionary algorithms.
Proc. of the Third Brazilian Symp. on Mathematical and Computational Biology - v2
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Innovations in Hybrid Intelligent Systems
This carefully edited book combines symbolic and sub-symbolic techniques to construct more robust and reliable problem solving models. This volume focused on "Hybrid Artificial Intelligence Systems" contains a collection of papers that were presented at the 2nd International Workshop on Hybrid Artificial Intelligence Systems, held in 12 - 13 November, 2007, Salamanca, Spain.
Hybrid Artificial Intelligent Systems, Part II
This book constitutes the proceedings of the 5th International Conference on Hybrid Artificial Intelligent Systems, held in San Sebastian, Spain, in June 2010.
