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Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems;
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Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume;
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revised and updated Fifth Edition features an all-new chapter on genetic algorithms and genetic programming, including approximate solutions to;
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Authoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic;
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Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic;
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Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions;
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From finance to artificial intelligence, genetic algorithms are a powerful tool with a wide array of applications. But you don't need an;
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Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;
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Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;
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Get a hands-on introduction to machine learning with genetic algorithms using Python. Step-by-step tutorials build your skills from Hello;
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Obstacle Avoidance in Multi-robot Systems: Experiments in Parallel Genetic Algorithms offers a novel framework for solving the path;
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Genetic and Evolutionary Methods is a compendium of articles and papers that were presented at GEM '14, an international conference that;
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Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning;
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This book deals with the fundamentals of genetic algorithms and their applications in a variety of different areas of engineering and;
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techniques. Culling material from the Handbook of Evolutionary Computation, Evolutionary Computation 1: Basic Algorithms and Operators contains up-to;
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techniques. Culling material from the Handbook of Evolutionary Computation, Evolutionary Computation 1: Basic Algorithms and Operators contains up-to;
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March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field;
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The last few years have seen important advances in the use of genetic algorithms to address challenging optimization problems in industrial;
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system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I;
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based on analogies with nature such as genetic algorithms and evolution strategies. Part I describes the mathematical foundations of classical;
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Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational;
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Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational;
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Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic;
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. The genetic foundation of male reproduction is presented in part 1, including regulation of sperm production, the structure of sperm chromatin;
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Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving;
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This book presents and discusses current research in the study of genetic algorithms, fuzzy systems and website classification. Topics;
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A reader-friendly introduction to the exciting, vast potential of Genetic Algorithms. The book gives readers a general understanding of the;
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