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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