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000841436 020__ $$z9780124167438
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000841436 050_4 $$aQ335$$b.Y36 2014
000841436 0820_ $$a006.3$$223
000841436 1001_ $$aYang, Xin-She.
000841436 24510 $$aNature-inspired optimization algorithms /$$cXin-She Yang.
000841436 250__ $$aFirst edition.
000841436 264_1 $$aLondon, [England] ;$$aWaltham, [Massachusetts]  :$$bElsevier,$$c2014.
000841436 264_4 $$c©2014
000841436 300__ $$a1 online resource (276 pages) :$$billustrations
000841436 336__ $$atext$$2rdacontent
000841436 337__ $$acomputer$$2rdamedia
000841436 338__ $$aonline resource$$2rdacarrier
000841436 504__ $$aIncludes bibliographical references.
000841436 506__ $$aAccess limited to authorized users.
000841436 588__ $$aDescription based on print version record.
000841436 650_0 $$aComputer algorithms.
000841436 650_0 $$aParallel processing (Electronic computers)
000841436 650_0 $$aElectronic data processing$$xDistributed processing.
000841436 650_0 $$aArtificial intelligence.
000841436 77608 $$iPrint version:$$aYang, Xin-She.$$tNature-inspired optimization algorithms.$$bFirst edition.$$dLondon, England ; Waltham, Massachusetts : Elsevier, c2014 $$z9780124167438 $$w2014931594
000841436 852__ $$bebk
000841436 85640 $$3ProQuest Ebook Central Academic Complete$$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=1637335$$zOnline Access
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000841436 980__ $$aEBOOK
000841436 980__ $$aBIB
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000841436 983__ $$aOnline