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enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting;
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particularly well suited to finding solutions to a broad range of electromagnetic optimization problems. Electromagnetic Optimization by 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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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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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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Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning;
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of the attractive features of genetic algorithms is their ability to solve formidable problems in a robust and straightforward manner. Moreover;
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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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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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Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems;
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The lastest edition of this classic text continues to provide the basis for understanding the genetic principles behind quantitative;
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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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Cellular Genetic Algorithms defines a new class of optimization algorithms based on the concepts of structured populations and Genetic;
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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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enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting;
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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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control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design;
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control. It also explores the application of hybrid approaches: how to enhance genetic algorithms and programming with fuzzy logic to design;
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availability, this book leads the reader from the theoretical aspects to the practical applications. It enables the uninitiated reader to apply genetic;
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Computer solutions to many difficult problems in science and engineering require the use of automatic search methods that consider a large;
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. Genetic Algorithms and Genetic Programming in Computational Finance is a pioneering volume devoted entirely to a systematic and comprehensive;
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. Genetic Algorithms and Genetic Programming in Computational Finance is a pioneering volume devoted entirely to a systematic and comprehensive;
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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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of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes;
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of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes;
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A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems Genetic Algorithms;
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