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000695285 020__ $$a9783319016924 $$qelectronic book
000695285 020__ $$a331901692X $$qelectronic book
000695285 020__ $$z9783319016917
000695285 0247_ $$a10.1007/978-3-319-01692-4$$2doi
000695285 035__ $$aSP(OCoLC)ocn857671050
000695285 035__ $$aSP(OCoLC)857671050
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000695285 049__ $$aISEA
000695285 050_4 $$aQ335$$b.I58 2013
000695285 08204 $$a006.3$$223
000695285 1112_ $$aNICSO (Workshop)$$n(6th :$$d2013 :$$cCanterbury, England)
000695285 24510 $$aNature inspired cooperative strategies for optimization (NICSO 2013)$$h[electronic resource]  /$$cGermán Terrazas, Fernando E.B. Otero, Antonio D. Masegosa, editors.
000695285 2463_ $$aNICSO 2013
000695285 264_1 $$aCham :$$bSpringer,$$c[2013?]
000695285 264_4 $$c©2014
000695285 300__ $$a1 online resource (xiv, 355 pages) :$$billustrations.
000695285 336__ $$atext$$btxt$$2rdacontent
000695285 337__ $$acomputer$$bc$$2rdamedia
000695285 338__ $$aonline resource$$bcr$$2rdacarrier
000695285 4901_ $$aStudies in Computational Intelligence,$$x1860-949X ;$$vv.512.$$aLearning, optimization and interdisciplinary applications
000695285 504__ $$aIncludes bibliographical references and index.
000695285 506__ $$aAccess limited to authorized users.
000695285 520__ $$aBiological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation. This book is a collection of research works presented in the VI International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO) held in Canterbury, UK. NICSO 2013 and this book provides a place where state-of-the-art research, latest ideas and emerging areas of nature inspired cooperative strategies for problem solving are vigorously discussed and exchanged among the scientific community. The breadth and variety of articles in this book report on nature inspired methods and applications such as Swarm Intelligence, Hyper-heuristics, Evolutionary Algorithms, Cellular Automata, Artificial Bee Colony, Dynamic Optimization, Support Vector Machines, Multi-Agent Systems, Ant Clustering, Evolutionary Design Optimisation, Game Theory and other several Cooperation Models.
000695285 588__ $$aDescription based on online resource; title from PDF title page (SpringerLink, viewed August 20, 2013).
000695285 650_0 $$aBiologically-inspired computing$$vCongresses.
000695285 650_0 $$aMathematical optimization$$vCongresses.
000695285 650_0 $$aArtificial intelligence$$vCongresses.
000695285 7001_ $$aTerrazas, Germán,$$eeditor of compilation.
000695285 7001_ $$aOtero, Fernando E. B.,$$eeditor of compilation.
000695285 7001_ $$aMasegosa, Antonio D.,$$d1982-,$$eeditor of compilation.
000695285 830_0 $$aStudies in computational intelligence ;$$vv.512,$$x1860-949X
000695285 830_0 $$aStudies in computational intelligence.$$pLearning, optimization and interdisciplinary applications.
000695285 85280 $$bebk$$hSpringerLink
000695285 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-319-01692-4$$zOnline Access
000695285 909CO $$ooai:library.usi.edu:695285$$pGLOBAL_SET
000695285 980__ $$aEBOOK
000695285 980__ $$aBIB
000695285 982__ $$aEbook
000695285 983__ $$aOnline
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