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Intelligent generation of candidate sets for genetic algorithms in very large search spaces

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dc.contributor.author Dunphy, J. R. en_US
dc.contributor.author Salcedo, J. J. en_US
dc.contributor.author Murphy, K. S. en_US
dc.date.accessioned 2004-09-16T20:56:18Z
dc.date.available 2004-09-16T20:56:18Z
dc.date.issued 2003-05-26 en_US
dc.identifier.citation International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing en_US
dc.identifier.citation Chongqing, China en_US
dc.identifier.clearanceno 03-0160 en_US
dc.identifier.uri http://hdl.handle.net/2014/6353
dc.description.abstract For several years we, at JPL, have been working on how to select safety measures for space missions in an optimal way. The main limitation on the measures that can be performed is, of course, cost. en_US
dc.format.extent 2516516 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.subject.other DDP model Defect Detection and Prevention genetic algorithm en_US
dc.title Intelligent generation of candidate sets for genetic algorithms in very large search spaces en_US


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