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000753168 019__ $$a935252224$$a935269365
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000753168 020__ $$a9783319204307$$q(electronic book)
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000753168 1112_ $$aInternational Conference on Management Science$$n(11th :$$d2014 :$$cLisbon, Portugal),$$jissuing body.
000753168 24510 $$aComputational Management Science$$h[electronic resource] :$$bState of the art 2014 /$$cRaquel J. Fonseca, Gerhard-Wilhelm Weber, João Telhada, editors.
000753168 264_1 $$aCham :$$bSpringer International Publishing,$$c[2016]
000753168 264_4 $$c©2016
000753168 300__ $$a1 online resource (xxi, 245 pages) :$$billustrations.
000753168 336__ $$atext$$btxt$$2rdacontent
000753168 337__ $$acomputer$$bc$$2rdamedia
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000753168 4901_ $$aLecture Notes in Economics and Mathematical Systems ;$$v682
000753168 504__ $$aIncludes bibliographical references.
000753168 5050_ $$aPart I: Energy -- Part II: Logistics -- Part III: Production -- Part IV: Optimization Methods.
000753168 506__ $$aAccess limited to authorized users.
000753168 520__ $$aThis volume contains contributions from the 11th International Conference on Management Science (CMS 2014), held at Lisbon, Portugal, on May 29-31, 2014. Its contents reflect the wide scope of Management Science, covering different theoretical aspects for a quite diverse set of applications. Computational Management Science provides a unique perspective in relevant decision-making processes by focusing on all its computational aspects. These include computational economics, finance and statistics; energy; scheduling; supply chains; design, analysis and applications of optimization algorithms; deterministic, dynamic, stochastic, robust and combinatorial optimization models; solution algorithms, learning and forecasting such as neural networks and genetic algorithms; models and tools of knowledge acquisition, such as data mining; and all other topics in management science with the emphasis on computational paradigms.
000753168 588__ $$aDescription based on print version record.
000753168 650_0 $$aManagement science$$xData processing$$vCongresses.
000753168 650_0 $$aBusiness$$xData processing$$vCongresses.
000753168 650_0 $$aIndustrial management$$xData processing$$vCongresses.
000753168 650_0 $$aLogistics$$xData processing$$vCongresses.
000753168 650_0 $$aComputer algorithms.
000753168 7001_ $$aFonseca, Raquel J.
000753168 77608 $$iPrint version:$$aFonseca, Raquel J.$$tComputational Management Science : State of the Art 2014.$$dCham : Springer International Publishing, ©2015$$z9783319204291
000753168 830_0 $$aLecture notes in economics and mathematical systems ;$$v682.
000753168 852__ $$bebk
000753168 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-20430-7$$zOnline Access$$91397441.1
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