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Applied mathematics / Operations research / Mathematics / Computing / Cybernetics / Genetic programming / Fitness function / John Koza / Programming paradigm / Genetic algorithms / Evolutionary algorithms / Mathematical optimization


Submitted September 10, 1991 to 1992 American Control Conference (ACC) to be held in Chicago on June 24-26, 1992 A Genetic Approach to Finding a Controller to Back Up a
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Document Date: 2006-11-17 21:16:34

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Ann Arbor / San Mateo / Berlin / Antibes / Cambridge / Bloomington / London / New York / Chicago / /

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Knowledge Systems Laboratory / Neural Networks / MIT Press / Morgan Kaufmann Publishers Inc. / Classifier Systems / /

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France / /

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University of Michigan Press / Loading Dock / Knowledge Systems Laboratory / Stanford University / /

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gross national product / genetic algorithm / conventional genetic algorithm / approximate solution / Genetic algorithms / symbolic solution / numerical solution / food / /

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

Person

James P. Rice / Lawrence / Gregory / Martin A. Genetic / John R. Koza / John R. Genetic / John Holland / Thomas III / David E. Genetic / John R. Hierarchical / Van Nostrand Reinhold / John R. Evolving / /

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Position

editor / controller / control strategy / controller for this four dimensional control problem / Controller / controller for this problem / /

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Indiana / Massachusetts / /

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Machine Learning / /

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Stanford University / /

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functional programming / conventional genetic algorithm / genetic algorithms / artificial intelligence / genetic algorithm / machine learning / recombination / BACKGROUND ON GENETIC ALGORITHMS / ATG / pheromones / /

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