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Stochastic optimization using genetics-inspired search techniques

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dc.contributor.author Engelhardt, B. en_US
dc.contributor.author Chien, S. en_US
dc.date.accessioned 2004-09-22T22:22:40Z
dc.date.available 2004-09-22T22:22:40Z
dc.date.issued 2000-12-04 en_US
dc.identifier.citation Bioinspired Engineering of Explorations Systems 2000 en_US
dc.identifier.citation Pasadena, CA, USA en_US
dc.identifier.clearanceno 01-0112 en_US
dc.identifier.uri http://hdl.handle.net/2014/12189
dc.description.abstract With adaptive problem solving, we take a biologically-inspired approach to both stochastic optimization and search in order to enable a spacecraft to adapt its environment-specific bevahior in-situ. en_US
dc.format.extent 1334918 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other genetic algorithms optimization adaptive exploration agents en_US
dc.title Stochastic optimization using genetics-inspired search techniques en_US


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