Learning and Intelligent Optimization: 10th International Conference, LION 10, Ischia, Italy, May 29 -- June 1, 2016, Revised Selected Papers

Front Matter....Pages I-XI
Front Matter....Pages 1-1
Learning a Stopping Criterion for Local Search....Pages 3-16
Surrogate Assisted Feature Computation for Continuous Problems....Pages 17-31
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework....Pages 32-47
Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers....Pages 48-59
Extreme Reactive Portfolio (XRP): Tuning an Algorithm Population for Global Optimization....Pages 60-74
Bounding the Search Space of the Population Harvest Cutting Problem with Multiple Size Stock Selection....Pages 75-90
Designing and Comparing Multiple Portfolios of Parameter Configurations for Online Algorithm Selection....Pages 91-106
Portfolios of Subgraph Isomorphism Algorithms....Pages 107-122
Structure-Preserving Instance Generation....Pages 123-140
Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search....Pages 141-156
The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-Art Inexact TSP Solvers....Pages 157-172
Requests Management for Smartphone-Based Matching Applications Using a Multi-agent Approach....Pages 173-186
Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search....Pages 187-202
Quantifying the Similarity of Algorithm Configurations....Pages 203-217
Front Matter....Pages 219-219
Neighborhood Synthesis from an Ensemble of MIP and CP Models....Pages 221-226
Parallelizing Constraint Solvers for Hard RCPSP Instances....Pages 227-233
Characterization of Neighborhood Behaviours in a Multi-neighborhood Local Search Algorithm....Pages 234-239
Constraint Programming and Machine Learning for Interactive Soccer Analysis....Pages 240-246
A Matheuristic Approach for the p-Cable Trench Problem....Pages 247-252
An Empirical Study of Per-instance Algorithm Scheduling....Pages 253-259
Front Matter....Pages 219-219
Dynamic Strategy to Diversify Search Using a History Map in Parallel Solving....Pages 260-266
Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies....Pages 267-273
Risk-Averse Anticipation for Dynamic Vehicle Routing....Pages 274-279
Front Matter....Pages 281-281
Solving GENOPT Problems with the Use of ExaMin Solver....Pages 283-295
Hybridisation of Evolutionary Algorithms Through Hyper-heuristics for Global Continuous Optimisation....Pages 296-305
Back Matter....Pages 307-309