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Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems [[electronic resource] ] : 10th International Conference, CPAIOR 2013, Yorktown Heights, NY, USA, May 18-22, 2013. Proceedings / / edited by Carla Gomes, Meinolf Sellmann
| Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems [[electronic resource] ] : 10th International Conference, CPAIOR 2013, Yorktown Heights, NY, USA, May 18-22, 2013. Proceedings / / edited by Carla Gomes, Meinolf Sellmann |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 403 p. 74 illus.) |
| Disciplina | 658.53 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Numerical analysis
Computer science—Mathematics Discrete mathematics Algorithms Artificial intelligence Operations research Management science Numerical Analysis Mathematical Applications in Computer Science Discrete Mathematics in Computer Science Artificial Intelligence Operations Research, Management Science |
| ISBN | 3-642-38171-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466178603316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems [[electronic resource] ] : 10th International Conference, CPAIOR 2013, Yorktown Heights, NY, USA, May 18-22, 2013. Proceedings / / edited by Carla Gomes, Meinolf Sellmann
| Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems [[electronic resource] ] : 10th International Conference, CPAIOR 2013, Yorktown Heights, NY, USA, May 18-22, 2013. Proceedings / / edited by Carla Gomes, Meinolf Sellmann |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XII, 403 p. 74 illus.) |
| Disciplina | 658.53 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Numerical analysis
Computer science—Mathematics Discrete mathematics Algorithms Artificial intelligence Operations research Management science Numerical Analysis Mathematical Applications in Computer Science Discrete Mathematics in Computer Science Artificial Intelligence Operations Research, Management Science |
| ISBN | 3-642-38171-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483888003321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Learning and Intelligent Optimization [[electronic resource] ] : 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers / / edited by Paola Festa, Meinolf Sellmann, Joaquin Vanschoren
| Learning and Intelligent Optimization [[electronic resource] ] : 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers / / edited by Paola Festa, Meinolf Sellmann, Joaquin Vanschoren |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XI, 309 p. 74 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Computer science Artificial intelligence Computer science—Mathematics Discrete mathematics Computer simulation Computer Science Logic and Foundations of Programming Artificial Intelligence Discrete Mathematics in Computer Science Theory of Computation Computer Modelling |
| ISBN | 3-319-50349-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning 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. |
| Record Nr. | UNISA-996465494403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Learning and Intelligent Optimization [[electronic resource] ] : 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers / / edited by Paola Festa, Meinolf Sellmann, Joaquin Vanschoren
| Learning and Intelligent Optimization [[electronic resource] ] : 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers / / edited by Paola Festa, Meinolf Sellmann, Joaquin Vanschoren |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XI, 309 p. 74 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Algorithms
Computer science Artificial intelligence Computer science—Mathematics Discrete mathematics Computer simulation Computer Science Logic and Foundations of Programming Artificial Intelligence Discrete Mathematics in Computer Science Theory of Computation Computer Modelling |
| ISBN | 3-319-50349-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Learning 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. |
| Record Nr. | UNINA-9910484319303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||