Genetic Programming Theory and Practice III
Genetic Programming Theory and Practice III by Tina Yu, published by Springer US on November 19, 2010, is a softcover reprint of the hardcover first edition from 2006, comprising 310 pages. This book presents recent advancements in Genetic Programming (GP) theory and practice, highlighting the dynamic interplay between theoretical frameworks and practical applications in this innovative machine learning method.
Readers will find contributions from leading international theorists and industry practitioners, stemming from a workshop at the University of Michigan’s Center for the Study of Complex Systems. The discussions focus on how GP theory informs practical applications and vice versa, with examples drawn from various fields such as chemical process control, informatics, and circuit design. This edition serves as a resource for both researchers and professionals interested in the evolving landscape of artificial intelligence and programming methodologies.
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Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent developments in GP theory and practice by exploring the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). The contributions developed from a third workshop at the University of Michigan’s Center for the Study of Complex Systems, where leading international genetic programming theorists from major universities and active practitioners from leading industries and businesses meet to examine and challenge how GP theory informs practice and how GP practice impacts GP theory. Applications are from a wide range of domains, including chemical process control, informatics, and circuit design, to name a few.
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