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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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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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Artificial neural networks, genetic algorithms and the ant colony optimization algorithm have become a highly effective tool for solving;
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developments in artificial intelligence. After introducing you to genetic algorithms and their principles of operation, you'll understand how they;
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problems and with this book you too can harness their problem solving capabilities. Understanding how to utilize and implement genetic algorithms;
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First Published in 1987. Routledge is an imprint of Taylor and Francis, an informa company.;
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method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for;
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method based on the way chromosomes in DNA recombine - these problems are more efficiently and more accurately solved. Genetic Algorithms for;
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an in-depth look at the algorithms, techniques, and methods that go into writing a genetic algorithm. From introductory problems to real;
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date on recent developments in the field and provides material they can use productively in their own endeavors. For this edition, the;
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First Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.;...
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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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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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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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most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;
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most powerful of these are genetic algorithms (GA), inspired by natural selection, and genetic programming, an extension of GAs based on the;
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search procedures modeled on the Darwinian concepts of natural selection and evolution. The machinery of genetic algorithms utilizes an;
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methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms. Topics;
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neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;
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neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;
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engineering. Genetic Algorithms and Engineering Design is the only book to cover the most recent technologies and their application to manufacturing;
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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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Practical Handbook of Genetic Algorithms, Volume 3: Complex Coding Systems contains computer-code examples for the development of genetic;
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intelligence. It reviews and documents the new developments, focusing on nature-inspired algorithms and their theoretical analysis, as well as;
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solving numerous problems in QSAR and drug designWritten to be accessible without prior direct experience in genetic algorithms;
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