001435358 000__ 05168cam\a2200733\i\4500 001435358 001__ 1435358 001435358 003__ OCoLC 001435358 005__ 20230309003850.0 001435358 006__ m\\\\\o\\d\\\\\\\\ 001435358 007__ cr\un\nnnunnun 001435358 008__ 210402s2021\\\\sz\a\\\\ob\\\\101\0\eng\d 001435358 019__ $$a1244631247$$a1253412984$$a1284941633 001435358 020__ $$a9783030729042$$q(electronic bk.) 001435358 020__ $$a3030729044$$q(electronic bk.) 001435358 020__ $$a9783030729059$$q(print) 001435358 020__ $$a3030729052 001435358 020__ $$z3030729036 001435358 020__ $$z9783030729035 001435358 0247_ $$a10.1007/978-3-030-72904-2$$2doi 001435358 035__ $$aSP(OCoLC)1244534843 001435358 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dVT2$$dLIP$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCO$$dOCLCQ 001435358 049__ $$aISEA 001435358 050_4 $$aQA76.618 001435358 08204 $$a006.3/823$$223 001435358 08204 $$a004.0151$$223 001435358 1112_ $$aEvoCOP (Conference)$$n(21st :$$d2021 :$$cOnline) 001435358 24510 $$aEvolutionary computation in combinatorial optimization :$$b21st European Conference, EvoCOP 2021, held as part of EvoStar 2021, virtual event, April 7-9, 2021, proceedings /$$cChristine Zarges, Sébastien Verel (eds.). 001435358 2463_ $$aEvoCOP 2021 001435358 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021] 001435358 300__ $$a1 online resource (xiv, 237 pages) :$$billustrations (some color) 001435358 336__ $$atext$$btxt$$2rdacontent 001435358 337__ $$acomputer$$bc$$2rdamedia 001435358 338__ $$aonline resource$$bcr$$2rdacarrier 001435358 347__ $$atext file 001435358 347__ $$bPDF 001435358 4901_ $$aLecture notes in computer science ;$$v12692 001435358 4901_ $$aLNCS sublibrary. SL 1, Theoretical computer science and general issues 001435358 504__ $$aIncludes bibliographical references and author index. 001435358 5050_ $$aA Novel Ant Colony Optimization Strategy for the Quantum Circuit Compilation Problem -- Hybridization of Racing Methods with Evolutionary Operators for Simulation Optimization of Traffic Lights Programs -- Decomposition-based Multi-objective Landscape Features and Automated Algorithm Selection -- MATE: A Model-Based Algorithm Tuning Engine -- An Improvement Heuristic Based on Variable Neighborhood Search for a Dynamic Orienteering Problem -- Runtime Analysis of the (mu+1)-EA on the Dynamic BinVal Function -- Tabu-Driven Quantum Neighborhood Samplers -- On Hybrid Heuristics for Steiner Trees on the Plane with Obstacles -- Flowshop NEH-Based Heuristic Recommendation -- Stagnation Detection with Randomized Local Search -- An Artificial Immune System for Black Box Test Case Selection -- Symmetry Breaking for Voting Mechanisms -- A Heuristic Algorithm for School Bus Routing with Bus Stop Selection -- Hybrid Heuristic and Metaheuristic for Solving Electric Vehicle Charging Scheduling Problem. 001435358 506__ $$aAccess limited to authorized users. 001435358 520__ $$aThis book constitutes the refereed proceedings of the 21st European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2021, held as part of Evo*2021, as Virtual Event, in April 2021, co-located with the Evo*2021 events: EvoMUSART, EvoApplications, and EuroGP. The 14 revised full papers presented in this book were carefully reviewed and selected from 42 submissions. They cover a wide spectrum of topics, ranging from the foundations of evolutionary algorithms and other search heuristics to their accurate design and application to combinatorial optimization problems. Fundamental and methodological aspects deal with runtime analysis, the structural properties of fitness landscapes, the study of core components of metaheuristics, the clever design of their search principles, and their careful selection and configuration. Applications cover problem domains such as scheduling, routing, search-based software engineering and general graph problems. The range of topics covered in this volume reflects the current state of research in the fields of evolutionary computation and combinatorial optimization. 001435358 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 14, 2021). 001435358 650_0 $$aEvolutionary computation$$vCongresses. 001435358 650_0 $$aCombinatorial optimization$$xData processing$$vCongresses. 001435358 650_0 $$aEvolutionary programming (Computer science)$$vCongresses. 001435358 650_6 $$aRéseaux neuronaux à structure évolutive$$vCongrès. 001435358 650_6 $$aOptimisation combinatoire$$xInformatique$$vCongrès. 001435358 650_6 $$aProgrammation évolutive$$vCongrès. 001435358 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001435358 655_7 $$aConference papers and proceedings.$$2lcgft 001435358 655_7 $$aActes de congrès.$$2rvmgf 001435358 655_0 $$aElectronic books. 001435358 7001_ $$aZarges, Christine,$$eeditor. 001435358 7001_ $$aVerel, Sébastien,$$eeditor. 001435358 7112_ $$aEVOSTAR (Conference)$$d(2021 :$$cOnline) 001435358 77608 $$iPrint version:$$z9783030729035$$w(OCoLC)1240494587 001435358 830_0 $$aLecture notes in computer science ;$$v12692. 001435358 830_0 $$aLNCS sublibrary.$$nSL 1,$$pTheoretical computer science and general issues. 001435358 852__ $$bebk 001435358 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-72904-2$$zOnline Access$$91397441.1 001435358 909CO $$ooai:library.usi.edu:1435358$$pGLOBAL_SET 001435358 980__ $$aBIB 001435358 980__ $$aEBOOK 001435358 982__ $$aEbook 001435358 983__ $$aOnline 001435358 994__ $$a92$$bISE