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dc.contributor.editorKita, Eisuke
dc.date.accessioned2023-12-01T14:28:21Z
dc.date.available2023-12-01T14:28:21Z
dc.date.issued2011
dc.identifierONIX_20231201_9789533071718_83
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/128977
dc.description.abstractEvolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.
dc.languageEnglish
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMB Algorithms & data structures
dc.subject.otherComputer programming / software development
dc.titleEvolutionary Algorithms
dc.typebook
oapen.identifier.doi10.5772/627
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789533071718
oapen.relation.isbn9789535144939
oapen.imprintIntechOpen
oapen.pages598


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