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Learning and Intelligent Optimization 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers /
This 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 review...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Theoretical Computer Science and General Issues,
10079 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.