LEADER 06636nam 22007455 450 001 996418280703316 005 20230330045051.0 010 $a3-030-53552-5 024 7 $a10.1007/978-3-030-53552-0 035 $a(CKB)4100000011354802 035 $a(DE-He213)978-3-030-53552-0 035 $a(MiAaPQ)EBC6273210 035 $a(PPN)255879814 035 $a(EXLCZ)994100000011354802 100 $a20200717d2020 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] $e14th International Conference, LION 14, Athens, Greece, May 24?28, 2020, Revised Selected Papers /$fedited by Ilias S. Kotsireas, Panos M. Pardalos 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XIV, 430 p. 91 illus., 62 illus. in color.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12096 311 $a3-030-53551-7 327 $aOptimization for Urban Air Mobility -- A Matheuristic Algorithm for solving the Vehicle Routing Problem with Cross-Docking -- Physical activity as a risk factor in the progression of Osteoarthritis: A machine learning perspective -- QPTAS for the CVRP with a moderate number of routes in a metric space of any xed doubling dimension -- Early detection of eating disorders through machine learning techniques -- On Finding Minimum Cardinality Subset of Vectors with a Constraint on the Sum of Squared Euclidean Pairwise Distances -- Practical Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks -- A Class of Linear Programs Solvable by Coordinate-wise Minimization -- Travel times equilibration procedure for route- flow traffic assignment problem -- confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms -- Randomized Algorithms for Some Sequence Clustering Problems -- Hyper-parameterized Dialectic Search for Non-Linear Box-constrained Optimization with Heterogenous Variable Types -- Least Squares K-SVCR Multi-class Classification -- Active learning based framework for image captioning corpus creation -- Reducing space search in combinatorial optimization using machine learning tools -- Impact of the Discretization of VOCs for Cancer Prediction using a Multi-Objective Algorithm -- AUGMECON2 method for a bi-objective U-shaped assembly line balancing problem -- Two-Channel Conflict-Free Square Grid Aggregation -- Online Stacking using RL with Positional and Tactical Features -- Power consumption estimation in data centers using machine learning techniques -- Automated tuning of a column generation algorithm -- Pool-based Realtime Algorithm Configuration: A Preselection Bandit Approach -- A Memetic Approach for the Unicost Set Covering Problem -- Dynamic Visual Few-Shot Learning through Parameter Prediction Network -- An Alternating DCA-based Approach for Reduced-Rank Multitask Linear Regression with Covariance Estimation -- PSO-based cooperative learning using chunking -- The problem of the hospital surgery department debottlenecking -- Learning Optimal Control of Water Distribution Networks through Sequential Model-based Optimization -- Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization -- A Pareto Simulated Annealing for the Integrated Problem of Berth and Quay Crane Scheduling at Maritime Container Terminals with Multiple Objectives and Stochastic Arrival Times of Vessels -- HotelSimu: Simulation-based Optimization for Hotel Dynamic Pricing -- Heuristic Search Strategies for Noisy Optimization -- Uncertainty of efficient frontier in portfolio optimization -- Learning to configure mathematical programming solvers by mathematical programming -- Convex Hulls in Solving Multiclass Pattern Recognition Problem -- Least Correntropic Loss Regression -- Novelty Discovery with Kernel Minimum Enclosing Balls -- DESICOM as Metaheuristic Search. 330 $aThis book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 14, held in Athens, Greece, in May 2020. The 37 full papers presented together with one invited paper have been carefully reviewed and selected from 75 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components. Due to the COVID-19 pandemic, LION 14 was not held as a physical meeting. . 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v12096 606 $aMathematics?Data processing 606 $aComputer networks 606 $aComputer science 606 $aComputer systems 606 $aApplication software 606 $aComputer science?Mathematics 606 $aDiscrete mathematics 606 $aComputational Mathematics and Numerical Analysis 606 $aComputer Communication Networks 606 $aTheory of Computation 606 $aComputer System Implementation 606 $aComputer and Information Systems Applications 606 $aDiscrete Mathematics in Computer Science 615 0$aMathematics?Data processing. 615 0$aComputer networks. 615 0$aComputer science. 615 0$aComputer systems. 615 0$aApplication software. 615 0$aComputer science?Mathematics. 615 0$aDiscrete mathematics. 615 14$aComputational Mathematics and Numerical Analysis. 615 24$aComputer Communication Networks. 615 24$aTheory of Computation. 615 24$aComputer System Implementation. 615 24$aComputer and Information Systems Applications. 615 24$aDiscrete Mathematics in Computer Science. 676 $a006.31 702 $aKotsireas$b Ilias S$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPardalos$b Panos M$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996418280703316 996 $aLearning and Intelligent Optimization$9773725 997 $aUNISA