000777307 000__ 03432cam\a2200517Ii\4500
000777307 001__ 777307
000777307 005__ 20230306142708.0
000777307 006__ m\\\\\o\\d\\\\\\\\
000777307 007__ cr\nn\nnnunnun
000777307 008__ 160927s2017\\\\sz\a\\\\ob\\\\000\0\eng\d
000777307 019__ $$a962396459$$a974650834$$a981103068
000777307 020__ $$a9783319442549$$q(electronic book)
000777307 020__ $$a3319442546$$q(electronic book)
000777307 020__ $$z9783319442532
000777307 020__ $$z3319442538
000777307 0247_ $$a10.1007/978-3-319-44254-9$$2doi
000777307 035__ $$aSP(OCoLC)ocn959278160
000777307 035__ $$aSP(OCoLC)959278160$$z(OCoLC)962396459$$z(OCoLC)974650834$$z(OCoLC)981103068
000777307 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dIDEBK$$dEBLCP$$dGW5XE$$dN$T$$dAZU$$dCCO$$dYDX$$dOCLCF$$dCOO$$dIDB$$dMERUC$$dUAB$$dUPM$$dVT2$$dUWO$$dIOG
000777307 049__ $$aISEA
000777307 050_4 $$aQ342
000777307 08204 $$a006.3$$223
000777307 1001_ $$aKulkarni, Anand Jayant,$$eauthor.
000777307 24510 $$aCohort intelligence :$$ba socio-inspired optimization method /$$cAnand Jayant Kulkarni, Ganesh Krishnasamy, Ajith Abraham.
000777307 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000777307 300__ $$a1 online resource (xi, 134 pages) :$$billustrations.
000777307 336__ $$atext$$btxt$$2rdacontent
000777307 337__ $$acomputer$$bc$$2rdamedia
000777307 338__ $$aonline resource$$bcr$$2rdacarrier
000777307 347__ $$atext file$$bPDF$$2rda
000777307 4901_ $$aIntelligent systems reference library,$$x1868-4394 ;$$vvolume 114
000777307 504__ $$aIncludes bibliographical references.
000777307 5050_ $$aIntroduction To Optimization -- Socio-Inspired Optimization Using Cohort Intelligence -- Cohort Intelligence For Constrained Test Problems -- Modified Cohort Intelligence For Solving Machine Learning Problems -- Solution To 0-1 Knapsack Problem Using Cohort Intelligence Algorithm -- Cohort Intelligence For Solving Travelling Salesman Problems -- Solution To A New Variant Of The Assignment Problem Using Cohort Intelligence Algorithm -- Solution To Sea Cargo Mix (Scm) Problem Using Cohort Intelligence Algorithm -- Solution To The Selection Of Cross-Border Shippers (Scbs) Problem -- Conclusions And Future Directions.
000777307 506__ $$aAccess limited to authorized users.
000777307 520__ $$aThis Volume discusses the underlying principles and analysis of the different concepts associated with an emerging socio-inspired optimization tool referred to as Cohort Intelligence (CI). CI algorithms have been coded in Matlab and are freely available from the link provided inside the book. The book demonstrates the ability of CI methodology for solving combinatorial problems such as Traveling Salesman Problem and Knapsack Problem in addition to real world applications from the healthcare, inventory, supply chain optimization and Cross-Border transportation. The inherent ability of handling constraints based on probability distribution is also revealed and proved using these problems. .
000777307 588__ $$aDescription based on print  version record.
000777307 650_0 $$aComputational intelligence.
000777307 650_0 $$aCombinatorial optimization.
000777307 7001_ $$aKrishnasamy, Ganesh,$$eauthor.
000777307 7001_ $$aAbraham, Ajith,$$d1968-$$eauthor.
000777307 77608 $$iPrint version:$$tCohort Intelligence.$$d[Place of publication not identified] : Springer-Verlag New York Inc 2016$$z9783319442532$$w(OCoLC)953709002
000777307 830_0 $$aIntelligent systems reference library ;$$vv. 114.
000777307 852__ $$bebk
000777307 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-44254-9$$zOnline Access$$91397441.1
000777307 909CO $$ooai:library.usi.edu:777307$$pGLOBAL_SET
000777307 980__ $$aEBOOK
000777307 980__ $$aBIB
000777307 982__ $$aEbook
000777307 983__ $$aOnline
000777307 994__ $$a92$$bISE