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Computing / Operations research / Genetic algorithms / Computer programming / Lisp programming language / Genetic programming / Lisp / Algorithm / John Koza / Evolutionary algorithms / Mathematical optimization / Applied mathematics


1 Submitted November 19, 1989 to 2nd Conference Economics and Artificial Intelligence, July 2-6, 1990, Paris .
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Document Date: 2006-11-17 21:16:53


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City

Ann Arbor / San Mateo / Washington / DC / New York / Paris / /

Company

Citybank / Neural Networks / Citibank N. A. / Texas Instruments / /

Country

United States / /

Currency

USD / /

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Facility

University of Michigan Press / University of Michigan / /

IndustryTerm

gross national product / genetic computing / hierarchical genetic algorithm / eventual solution / symbolic processing / Genetic algorithms / mathematical algorithms / genetic computing paradigm process / search space / hierarchical genetic algorithms / using hierarchical genetic algorithms / /

OperatingSystem

Macintosh / /

Organization

John R. Koza Computer Science Department / University of Michigan Press / Board of Governors of the Federal Reserve System / the University of Michigan / Stanford University Stanford / /

Person

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

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Position

king / Professor / Porter / /

ProgrammingLanguage

LISP / /

ProvinceOrState

California / /

PublishedMedium

Machine Learning / /

Technology

2.0 BACKGROUND ON GENETIC ALGORITHMS Genetic algorithms / Ethernet / hierarchical genetic algorithm / artificial intelligence / hierarchical genetic algorithms / machine learning / recombination / /

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