Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/131043
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dc.contributor.authorEisuke Kita
dc.date.accessioned2017-04-30T13:31:35Z-
dc.date.available2017-04-30T13:31:35Z-
dc.date.issued2011
dc.identifier.isbn978-953-307-171-8
dc.identifier.urihttp://hdl.handle.net/123456789/131043-
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.language.isoeng
dc.publisherInTech
dc.relation.isbasedon10.5772/627
dc.relation.urihttp://www.intechopen.com/books/evolutionary-algorithms
dc.rights.uriCC BY-NC-SA (姓名標示-非商業性-相同方式分享)
dc.sourceInTech
dc.subject.classificationComputer and Information Science
dc.subject.classification Numerical Analysis and Scientific Computing
dc.titleEvolutionary Algorithms
dc.type電子教課書
dc.classification自然科學類
Theme:教科書-自然科學類

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