Genetic Programming Theory and Practice
Genetic Programming Theory and Practice explores the emerging interaction between theory and practice in the cutting-edge, machine learning method of Genetic Programming (GP). Get and download textbook Genetic Programming Theory and Practice for free
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.
The material contained in this contributed volume was developed from a workshop at the University of Michigan's Center for the Study of Complex Systems where an international group of genetic programming theorists and practitioners met to examine how GP theory informs practice and how GP practice impacts GP theory. The contributions cover the full spectrum of this relationship and are written by leading GP theorists from major universities, as well as active practitioners from leading industries and businesses. Chapters include such topics as John Koza's development of Genetic Programming Theory and Practice new edition
Download free books for Genetic Programming Theory and Practice VIII
The contributions in this volume are written by the foremost international researchers and practitioners in the GP arena. They examine the similarities and differences between theoretical and empirical results on real-world problems. The text explores the synergy between theory and practice, producing a comprehensive view of the state of the art in GP application.
Topics include: FINCH: A System for Evolving Java, Practical Autoconstructive Evolution, The Rubik Cube and GP Temporal Sequence Learning, Ensemble classifiers: AdaBoost and Orthogonal Evolution of Teams, Self-modifying Cartesian GP,
Topics include: FINCH: A System for Evolving Java, Practical Autoconstructive Evolution, The Rubik Cube and GP Temporal Sequence Learning, Ensemble classifiers: AdaBoost and Orthogonal Evolution of Teams, Self-modifying Cartesian GP,
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Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigan ''s Center for the Study of Complex Systems. It aims to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). This volume is a unique and indispensable tool for academics, researchers and industry professionals involved in GP, evolutionary computation, machine learning and artificial intelligence.
Springer-Verlag New York Inc 9781461417699 Genetic Programming Theory and Practice IX By Riolo, Rick (EDT)/ Vladislavleva, Ekaterina (EDT)/ Moore, Jason H. (EDT) Description *Author: Riolo, Rick (EDT)/ Vladislavleva, Ekaterina (EDT)/ Moore, Jason H. (EDT) *Series Title: Genetic and Evolutionary Computation *Publication Date: 2011/11/01 *Number of Pages: 263 *Binding Type: Hardcover *Language: English *Depth: 0.25 *Width: 6.25 *Height: 9.00 SKU: UBM9781461417699 Payment We accept payment via Pay
Genetic Programming Theory and Practice Textbook
The material contained in this contributed volume was developed from a workshop at the University of Michigan's Center for the Study of Complex Systems where an international group of genetic programming theorists and practitioners met to examine how GP theory informs practice and how GP practice impacts GP theory
Chapters include such topics as John Koza's development of
