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dc.contributor.authorMcMahon, Mathew T.en_US
dc.contributor.authorWatson, Layne T.en_US
dc.date.accessioned2013-05-29T14:02:07Zen_US
dc.date.accessioned2013-06-19T14:36:47Z
dc.date.available2013-05-29T14:02:07Zen_US
dc.date.available2013-06-19T14:36:47Z
dc.date.issued1998-08-01
dc.identifierhttp://eprints.cs.vt.edu/archive/00000499/en_US
dc.identifier.urihttp://hdl.handle.net/10919/20038
dc.descriptionThis paper describes the development of a general Fortran 90 framework for the solution of composite laminate design problems using a genetic algorithm (GA). The initial Fortran 90 module and package of operators result in a standard genetic algorithm (sGA). The sGA is extended to operate on a parallel processor, and a migration algorithm is introduced. These extensions result in the distributed genetic algorithm with migration (dGA). The performance of the dGA in terms of cost and reliability is studied and compared to a sGA baseline, using two types of composite laminate design problems. The nondeterminism of GAs and the migration and dynamic load balancing algorithm used in this work result in a changed (diminished) workload, so conventional measures of parallelizability are not meaningful. Thus, a set of experiments is devised to characterize the run time performance of the dGA.en_US
dc.formatps http://eprints.cs.vt.edu/archive/00000499/01/TR-98-20.psen_US
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen_US
dc.subjectHistorical Collection(Till Dec 2001)en_US
dc.titleA Distributed Genetic Algorithm with Migration for the Design of Composite Laminate Structuresen_US
dc.typeTechnical report - Departmentalen_US
dc.identifier.trnumberTR-98-20en_US
dc.type.dcmitypeTexten_US


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