LEADER 05348nam 22007815 450 001 996465494403316 005 20230223085547.0 010 $a3-319-50349-9 024 7 $a10.1007/978-3-319-50349-3 035 $a(CKB)3710000000981135 035 $a(DE-He213)978-3-319-50349-3 035 $a(MiAaPQ)EBC6303394 035 $a(MiAaPQ)EBC5578834 035 $a(Au-PeEL)EBL5578834 035 $a(OCoLC)1066183133 035 $a(PPN)197137423 035 $a(EXLCZ)993710000000981135 100 $a20161130d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLearning and Intelligent Optimization$b[electronic resource] $e10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers /$fedited by Paola Festa, Meinolf Sellmann, Joaquin Vanschoren 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (XI, 309 p. 74 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10079 300 $aIncludes index. 311 $a3-319-50348-0 327 $aLearning a stopping criteria for Local Search -- Surrogate Assisted Feature Computation for Continuous Problems -- MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework -- Evolving Instances for Maximizing Performance Differences of State-of-The-Art Inexact TSP Solvers -- Extreme Reactive Portfolio (XRP): Tuning an Algorithm Population for Global Optimization -- Bounding the Search Space of the Population Harvest Cutting Problem with Multiple Size Stock Selection -- Designing and comparing multiple portfolios of parameter configurations for online algorithm selection -- Portfolios of Subgraph Isomorphism Algorithms -- Structure-preserving Instance Generation -- Feature Selection using Tabu Search with Learning Memory: Learning Tabu Search -- The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-art Inexact TSP Solvers -- Requests Management for Smartphone-based Matching Applications using a Multi-Agent Approach -- Self-Organizing Neural Network for Adaptive Operator Selection in Evolutionary Search -- Quantifying the Similarity of Algorithm Configurations -- Neighborhood synthesis from an ensemble of MIP and CP models -- Parallelizing Constraint Solvers for Hard RCPSP Instances -- Characterization of neighborhood behaviours in a multi-neighborhood local search algorithm -- Constraint Programming and Machine Learning for Interactive Soccer Analysis -- A Matheuristic Approach for the p-Cable Trench Problem -- An Empirical Study of Per-Instance Algorithm Scheduling -- Dynamic strategy to diversify search using history map in parallel solving -- Faster Model Based Optimization through Resource Aware Scheduling Strategies -- Risk-Averse Anticipation for Dynamic Vehicle Routing -- Solving GENOPT problems with the use of ExaMin solver -- Hybridisation of Evolutionary Algorithms through Hyper-heuristics for Global Continuous Optimisation. 330 $aThis book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Learning and Optimization, LION 10, which was held on Ischia, Italy, in May/June 2016. The 14 full papers presented together with 9 short papers and 2 GENOPT papers were carefully reviewed and selected from 47 submissions. The papers address all fields between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. Special focus is given to new ideas and methods; challenges and opportunities in various application areas; general trends, and specific developments. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10079 606 $aAlgorithms 606 $aComputer science 606 $aArtificial intelligence 606 $aComputer science?Mathematics 606 $aDiscrete mathematics 606 $aComputer simulation 606 $aAlgorithms 606 $aComputer Science Logic and Foundations of Programming 606 $aArtificial Intelligence 606 $aDiscrete Mathematics in Computer Science 606 $aTheory of Computation 606 $aComputer Modelling 615 0$aAlgorithms. 615 0$aComputer science. 615 0$aArtificial intelligence. 615 0$aComputer science?Mathematics. 615 0$aDiscrete mathematics. 615 0$aComputer simulation. 615 14$aAlgorithms. 615 24$aComputer Science Logic and Foundations of Programming. 615 24$aArtificial Intelligence. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aTheory of Computation. 615 24$aComputer Modelling. 676 $a005.1 702 $aFesta$b Paola$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSellmann$b Meinolf$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVanschoren$b Joaquin$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465494403316 996 $aLearning and Intelligent Optimization$9773725 997 $aUNISA