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Applied mathematics / Science / Operations research / Mathematics / Cybernetics / Genetic programming / Behavioral ecology / John Koza / Foraging / Genetic algorithms / Mathematical optimization / Evolutionary algorithms


EVOLUTION OF FOOD FORAGING STRATEGIES FOR THE CARIBBEAN ANOLIS LIZARD USING GENETIC PROGRAMMING John R. Koza Computer Science Department Margaret Jacks Hall Stanford University
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Document Date: 2006-11-17 21:18:33

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City

Palo Alto / /

Company

The MIT Press / Wilson / /

Continent

North America / Europe / /

Country

United States / /

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Facility

James P. Rice Stanford University Knowledge Systems Laboratory / Santa Fe Institute / terminal D1 / /

IndustryTerm

mathematical solution / gross national product / elaborate energy model / genetic algorithm / conventional genetic algorithm / energy yield / approximate solution / genetic algorithms / neural networks / food item / food foraging strategy / food / /

NaturalFeature

Caribbean islands / /

Organization

MIT / James P. Rice Stanford University Knowledge Systems Laboratory / Santa Fe Institute / Jonathan Roughgarden Department / Stanford University Stanford / /

Person

John Holland / /

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ProvinceOrState

California / /

Region

Caribbean / /

Technology

conventional genetic algorithm / genetic algorithm / simulation / recombination / /

SocialTag