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Mixing Paradigms: Genetic Operators that are Gradient-Descent approximations
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Document Date: 2006-11-17 21:29:21

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File Size: 164,11 KB

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City

Cambridge / /

Company

MIT Press / GDM / Addison Wesley Longman Inc. / /

/

Facility

University of Michigan / /

IndustryTerm

search process / genetic mutation operator / gradient-descent genetic operator / complicated search space / genetic algorithm / real-world search spaces / non-linear search spaces / search spaces / nontrivial search spaces / genetic operators / computational search space / evolutionary search / sub-optimal solution / genetic adaptive systems / mutation operator / genetic operator / search space / genetic search / search problems / Genetic algorithm software / search algorithms / /

Organization

MIT / University of Michigan / Stanford University Stanford / /

Person

Jong Test / Preparatory Steps / Random / /

/

Position

Major / General / /

ProgrammingLanguage

C / /

ProvinceOrState

California / Georgia / Michigan / /

PublishedMedium

Machine Learning / /

Technology

search algorithms / genetic algorithm / Machine Learning / /

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