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001449891 001__ 1449891
001449891 003__ OCoLC
001449891 005__ 20230310004423.0
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001449891 008__ 220928s2022\\\\sz\a\\\\o\\\\\101\0\eng\d
001449891 019__ $$a1345053468
001449891 020__ $$a9783031068393$$q(electronic bk.)
001449891 020__ $$a3031068394$$q(electronic bk.)
001449891 020__ $$z9783031068386
001449891 020__ $$z3031068386
001449891 0247_ $$a10.1007/978-3-031-06839-3$$2doi
001449891 035__ $$aSP(OCoLC)1346157075
001449891 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ
001449891 049__ $$aISEA
001449891 050_4 $$aQ342
001449891 08204 $$a006.3$$223/eng/20220928
001449891 1112_ $$aWorkshop on Computational Optimization$$d(2021)
001449891 24510 $$aRecent advances in computational optimization :$$bresults of the Workshop on Computational Optimization WCO 2021 /$$cStefka Fidanova, editor.
001449891 2463_ $$aWCO 2021
001449891 264_1 $$aCham, Switzerland :$$bSpringer,$$c2022.
001449891 300__ $$a1 online resource :$$billustrations (black and white, and color).
001449891 336__ $$atext$$btxt$$2rdacontent
001449891 337__ $$acomputer$$bc$$2rdamedia
001449891 338__ $$aonline resource$$bcr$$2rdacarrier
001449891 4901_ $$aStudies in computational intelligence ;$$vvolume 1044
001449891 500__ $$aIncludes author index.
001449891 5050_ $$aLearning to Optimize -- Optimal seating assignment in the COVID-19 era via Quantum Computing -- Hybrid Ant Colony Optimization Algorithms Behaviour Investigation Based on Intuitionistic Fuzzy Logic -- Scheduling algorithms for single machine problem with release and delivery times -- Key Performance Indicators to Improve e-Mail Service Quality through ITIL Framework -- Contemporary Bioprocesses Control Algorithms for Educational Purposes -- Monitoring a Fleet of Autonomous Vehicles through A* like Algorithms and Reinforcement Learning -- Rather "good in, good out" than "garbage in, garbage out": A comparison of various discrete subsampling algorithms using COVID-19 data without a response variable.
001449891 506__ $$aAccess limited to authorized users.
001449891 520__ $$aThis book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, parameter settings for controlling different processes, transportation problems, machine scheduling, air pollution modeling, solving multiple integrals and systems of differential and integral equations which describe real processes, solving engineering and financial problems. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming Monte Carlo method and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.
001449891 588__ $$aDescription based on print version record.
001449891 650_0 $$aComputational intelligence$$vCongresses.
001449891 650_0 $$aMathematical optimization$$vCongresses.
001449891 655_0 $$aElectronic books.
001449891 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001449891 7001_ $$aFidanova, Stefka,$$d1964-$$eeditor.$$1https://isni.org/isni/0000000409914925
001449891 77608 $$iPrint version:$$tRecent advances in computational optimization.$$dCham : Springer, 2022$$z9783031068386$$w(OCoLC)1338682228
001449891 830_0 $$aStudies in computational intelligence ;$$vv. 1044.
001449891 852__ $$bebk
001449891 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-06839-3$$zOnline Access$$91397441.1
001449891 909CO $$ooai:library.usi.edu:1449891$$pGLOBAL_SET
001449891 980__ $$aBIB
001449891 980__ $$aEBOOK
001449891 982__ $$aEbook
001449891 983__ $$aOnline
001449891 994__ $$a92$$bISE