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Melanie Mitchell, «An Introduction To Genetic Algorithms», Reprint edition
Posted on 2010-04-14
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More Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics – particularly in machine learning, scientific modeling, and artificial life – and reviews a broad span of research, including the work of Mitchell and her colleagues. The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics. You are welcome to download From OxyShare: Check out my rapidshare folder for these books and more to be added in future And more links for AI, EC, EA, GA, EMOO links on I'm a MSc Student from Egypt doing my research in Evolutionary Algorithms and Optimization, so if you share my interests in Artificial Intelligence, Multiobjective Optimization, or machine learning, I'll be glad to have some talk with you Wesam ELSHAMY
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