LEADER 04351nam 22007815 450 001 9910558499603321 005 20251225203515.0 010 $a3-031-04148-8 024 7 $a10.1007/978-3-031-04148-8 035 $a(MiAaPQ)EBC6945653 035 $a(Au-PeEL)EBL6945653 035 $a(CKB)21462810500041 035 $a(PPN)262167530 035 $a(BIP)83746072 035 $a(BIP)83586758 035 $a(DE-He213)978-3-031-04148-8 035 $a(EXLCZ)9921462810500041 100 $a20220403d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvolutionary Computation in Combinatorial Optimization $e22nd European Conference, EvoCOP 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20?22, 2022, Proceedings /$fedited by Leslie Pérez Cáceres, Sébastien Verel 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (222 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13222 311 08$aPrint version: Pérez Cáceres, Leslie Evolutionary Computation in Combinatorial Optimization Cham : Springer International Publishing AG,c2022 9783031041471 320 $aIncludes bibliographical references and index. 327 $aOn Monte Carlo Tree Search for Weighted Vertex Coloring -- A RNN-based Hyper-heuristic for combinatorial problems -- Algorithm Selection for the Team Orienteering Problem -- Performance evaluation of a parallel ant colony optimization for the real-time train routing selection problem in large instances -- Deep Infeasibility Exploration Method for Vehicle Routing Problems -- Evolutionary Algorithms for the Constrained Two-Level Role Mining Problem -- Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling -- Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems -- A Beam Search for the Shortest Common Supersequence Problem Guided by an Approximate Expected Length Calculation -- Modeling the Costas Array Problem in QUBO for Quantum Annealing -- Penalty Weights in QUBO formulations: Permutation Problems -- PUBOi: a tunable benchmark with variable importance -- Stagnation Detection meets Fast Mutation. 330 $aThis book constitutes the refereed proceedings of the 22nd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2022, held as part of Evo*2022, in Madrid, Spain, during April 20-21, 2022, co-located with the Evo*2022 events: EvoMUSART, EvoApplications, and EuroGP. The 13 revised full papers presented in this book were carefully reviewed and selected from 28 submissions. They present recent theoretical and experimental advances in combinatorial optimization, evolutionary algorithms, and related research fields. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13222 606 $aComputer science$xMathematics 606 $aAlgorithms 606 $aData structures (Computer science) 606 $aInformation theory 606 $aArtificial intelligence 606 $aComputer engineering 606 $aComputer networks 606 $aMathematics of Computing 606 $aDesign and Analysis of Algorithms 606 $aData Structures and Information Theory 606 $aArtificial Intelligence 606 $aComputer Engineering and Networks 615 0$aComputer science$xMathematics. 615 0$aAlgorithms. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aArtificial intelligence. 615 0$aComputer engineering. 615 0$aComputer networks. 615 14$aMathematics of Computing. 615 24$aDesign and Analysis of Algorithms. 615 24$aData Structures and Information Theory. 615 24$aArtificial Intelligence. 615 24$aComputer Engineering and Networks. 676 $a519.640285632 676 $a519.640285632 702 $aPe?rez Ca?ceres$b Leslie 702 $aVerel$b Se?bastien 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910558499603321 996 $aEvolutionary Computation in Combinatorial Optimization$94206794 997 $aUNINA