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Computing / Genetic algorithms / Applied mathematics / Genetic programming / Operations research / Lisp programming language / Lisp / John Koza / Fitness function / Evolutionary algorithms / Software engineering / Mathematical optimization


1 CONCEPT FORMATION AND DECISION TREE INDUCTION USING THE GENETIC PROGRAMMING PARADIGM John R. Koza
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Document Date: 2006-11-17 21:18:23

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City

Ann Arbor / Cambridge / /

Company

MIT Press / /

/

Facility

University of Michigan Press / University of Michigan / /

IndustryTerm

Genetic algorithms / neural networks / symbolic solution / conventional genetic algorithms / parallel mathematical algorithms / hierarchical classification systems / search space / symbolic processing / /

Organization

University of Michigan Press / MIT / the University of Michigan / Stanford University / Stanford University Stanford / /

Person

Morgan Kaufman / John R. Genetic / John Holland / /

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ProgrammingLanguage

LISP / /

ProvinceOrState

California / /

PublishedMedium

the OUTLOOK / Machine Learning / /

Technology

Hierarchical Genetic Algorithms / conventional genetic algorithms / machine learning / parallel mathematical algorithms / Simulation / artificial intelligence / recombination / 2.BACKGROUND ON GENETIC ALGORITHMS Genetic algorithms / /

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