Learning and intelligent optimization : 10th International Conference, LION 10, Ischia, Italy, May 29-June 1, 2016, revised selected papers /: 10th International Conference, LION 10, Ischia, Italy, May 29-June 1, 2016, revised selected papers. (2016)
- Record Type:
- Book
- Title:
- Learning and intelligent optimization : 10th International Conference, LION 10, Ischia, Italy, May 29-June 1, 2016, revised selected papers /: 10th International Conference, LION 10, Ischia, Italy, May 29-June 1, 2016, revised selected papers. (2016)
- Main Title:
- Learning and intelligent optimization : 10th International Conference, LION 10, Ischia, Italy, May 29-June 1, 2016, revised selected papers
- Further Information:
- Note: Paola Festa, Meinolf Sellmann, Joaquin Vanschoren (Eds.).
- Editors:
- Festa, Paola
Sellmann, Meinolf
Vanschoren, Joaquin - Other Names:
- LION (Conference), 10th
- Contents:
- 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 ofLearning 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. … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2016
- Copyright Date:
- 2016
- Extent:
- 1 online resource (309 pages)
- Subjects:
- 006.31
Computer science
Machine learning -- Congresses
Program transformation (Computer programming) -- Congresses
Computer algorithms -- Congresses
Mathematical optimization -- Data processing -- Congresses
Computers -- Programming -- General
Computers -- Intelligence (AI) & Semantics
Computers -- Data Processing
Computers -- Machine Theory
Computers -- Computer Simulation
Computer programming / software development
Artificial intelligence
Discrete mathematics
User interface design & usability
Computer modelling & simulation
Computer software
Logic design
Artificial intelligence
Computational complexity
Computer simulation
Computers -- Programming -- Algorithms
Algorithms & data structures - Languages:
- English
- ISBNs:
- 9783319503493
- Related ISBNs:
- 9783319503486
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.373439
- Ingest File:
- 02_353.xml