LEADER 05661nam 22008175 450 001 996200345303316 005 20230222045708.0 010 $a3-319-16468-6 024 7 $a10.1007/978-3-319-16468-7 035 $a(CKB)3710000000379645 035 $a(SSID)ssj0001465492 035 $a(PQKBManifestationID)11903558 035 $a(PQKBTitleCode)TC0001465492 035 $a(PQKBWorkID)11471737 035 $a(PQKB)10554204 035 $a(DE-He213)978-3-319-16468-7 035 $a(MiAaPQ)EBC6306564 035 $a(MiAaPQ)EBC5588137 035 $a(Au-PeEL)EBL5588137 035 $a(OCoLC)905214052 035 $a(PPN)184894964 035 $a(EXLCZ)993710000000379645 100 $a20150314d2015 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEvolutionary Computation in Combinatorial Optimization$b[electronic resource] $e15th European Conference, EvoCOP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings /$fedited by Gabriela Ochoa, Francisco Chicano 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (XII, 235 p. 41 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v9026 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-319-16467-8 320 $aIncludes bibliographical references and index. 327 $aA Biased Random-Key Genetic Algorithm for the Cloud Resource Management Problem -- A Computational Comparison of Different Algorithms for Very Large p-median Problems -- A New Solution Representation for the Firefighter Problem -- A Variable Neighborhood Search Approach for the Interdependent Lock Scheduling Problem -- A Variable Neighborhood Search for the Generalized Vehicle Routing Problem with Stochastic Demands -- An Iterated Local Search Algorithm for Solving the Orienteering Problem with Time Windows -- Analysis of Solution Quality of a Multi objective Optimization-Based Evolutionary Algorithm for Knapsack Problem -- Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization -- Hyper-heuristic Operator Selection and Acceptance Criteria -- Improving the Performance of the Germinal Center Artificial Immune System Using ?-Dominance: A Multi-objective Knapsack Problem -- Mixing Network Extremal Optimization for Community Structure Detection -- Multi-start Iterated Local Search for the Mixed Fleet Vehicle Routing Problem with Heterogeneous Electric Vehicles -- On the Complexity of Searching the Linear Ordering Problem Neighborhoods -- Runtime Analysis of (1 + 1) Evolutionary Algorithm Controlled with Q-learning Using Greedy Exploration Strategy on ONEMAX+ZEROMAX Problem -- The New Memetic Algorithm HEAD for Graph Coloring: An Easy Way for Managing Diversity -- The Sim-EA Algorithm with Operator Auto adaptation for the Multi objective Firefighter Problem -- True Pareto Fronts for Multi-objective AI Planning Instances -- Upper and Lower Bounds on Unrestricted Black-Box Complexity of JUMPn,l -- Using Local Search to Evaluate Dispatching Rules in Dynamic Job Shop Scheduling. 330 $aThis book constitutes the refereed proceedings of the 15th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2015, held in Copenhagen, Denmark, in April 2015, co-located with the Evo*2015 events EuroGP, EvoMUSART and EvoApplications. The 19 revised full papers presented were carefully reviewed and selected from 46 submissions. The papers cover methodology, applications and theoretical studies. The methods included evolutionary and memetic (hybrid) algorithms, iterated local search, variable neighbourhood search, ant colony optimization, artificial immune systems, hyper-heuristics and other adaptive approaches. The applications include both traditional domains, such as graph coloring, knapsack, vehicle routing, job-shop scheduling, the p-median and the orienteering problems; and new(er) domains such as designing deep recurrent neural networks, detecting network community structure, lock scheduling of ships, cloud resource management, the fire-fighter problem and AI planning. The theoretical studies involved approximation ratio, runtime and black-box complexity analyses. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v9026 606 $aNumerical analysis 606 $aAlgorithms 606 $aComputer science?Mathematics 606 $aDiscrete mathematics 606 $aComputer science 606 $aArtificial intelligence 606 $aNumerical Analysis 606 $aAlgorithms 606 $aDiscrete Mathematics in Computer Science 606 $aTheory of Computation 606 $aArtificial Intelligence 615 0$aNumerical analysis. 615 0$aAlgorithms. 615 0$aComputer science?Mathematics. 615 0$aDiscrete mathematics. 615 0$aComputer science. 615 0$aArtificial intelligence. 615 14$aNumerical Analysis. 615 24$aAlgorithms. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aTheory of Computation. 615 24$aArtificial Intelligence. 676 $a005.432 702 $aOchoa$b Gabriela$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aChicano$b Francisco$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996200345303316 996 $aEvolutionary Computation in Combinatorial Optimization$92824693 997 $aUNISA