Titlebook: Genetic Programming Theory and Practice II; Una-May O’Reilly,Tina Yu,Bill Worzel Book 2005 Springer-Verlag US 2005 Algorithms.Automat.algo

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978-1-4419-3589-2Springer-Verlag US 2005

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Genetic Programming Theory and Practice II978-0-387-23254-6Series ISSN 1566-7863

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Understanding Critical Thinkingore difficult than others for genetic programming to solve. This chapter subsequently summarizes my group’s current theoretical work at the University of Michigan and extends the implications of that work to real-world problem solving.

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Data Science and Digital Business into the data itself. This is discussed using examples from classification problems in molecular biology and the results and “rules of thumb” developed to tune the GP system are reviewed in light of current GP theory.

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Considering the Roles of Structure in Problem Solving by Computer,ore difficult than others for genetic programming to solve. This chapter subsequently summarizes my group’s current theoretical work at the University of Michigan and extends the implications of that work to real-world problem solving.

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Does Genetic Programming Inherently Adopt Structured Design Techniques?,tiveness of these techniques, we define a design as an evolutionary frozen root node. We show that GP design converges quickly based primarily on the best individual in the initial random population. This leads to speculation of several mechanisms that could be used to allow basic GP techniques to better incorporate top-down design principles.

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