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Parametric Study of a Genetic Algorithm using a Aircraft Design Optimization Problem Andre C. Marta Dept. of Aeronautics and Astronautics Stanford University Stanford, California 94305
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Document Date: 2006-11-17 21:29:16

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City

Sanford / Orlando / Rochester / Cambridge / Englewood Cliffs / /

Company

Sun Enterprise / MIT Press / Desktop Aeronautics Inc. / Case / High-Fidelity Aero / Intelligent Systems / /

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Facility

Prentice Hall / Wesley Pub / /

IndustryTerm

genetic algorithm / structural solutions / genetic algorithms / overall solution / manufacturing / direct search methods / search space / conventional algorithms / search algorithms / /

OperatingSystem

Solaris / /

Organization

MIT / Vanderbilt University / Stanford University Stanford / /

Person

John J. Grefenstette / Andre C. Marta / /

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Position

author / Major / /

Product

Figure 4 Aircraft / canard / /

ProgrammingLanguage

FL / R / /

ProvinceOrState

Florida / Georgia / Michigan / /

PublishedMedium

Machine Learning / /

Technology

alpha / RAM / search algorithms / R=0.75 Ranking algorithm / Relative fitness spinning wheel Relative fitness spinning wheel Ranking algorithm / Fluid Dynamics / genetic algorithm / Machine Learning / sixteen 400 MHz processors / simulation / operating system / parallel processing / /

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