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

Dunphy, J. R.; Salcedo,  J. J.; Murphy,  K. S.

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