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ORCID10th LION 2016: Ischia, Italy
- Paola Festa, Meinolf Sellmann, Joaquin Vanschoren
:
Learning and Intelligent Optimization - 10th International Conference, LION 10, Ischia, Italy, May 29 - June 1, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10079, Springer 2016, ISBN 978-3-319-50348-6
Full Papers
- Alejandro Arbelaez, Barry O'Sullivan:
Learning a Stopping Criterion for Local Search. 3-16 - Nacim Belkhir, Johann Dréo, Pierre Savéant, Marc Schoenauer:
Surrogate Assisted Feature Computation for Continuous Problems. 17-31 - Aymeric Blot, Holger H. Hoos, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Heike Trautmann:
MO-ParamILS: A Multi-objective Automatic Algorithm Configuration Framework. 32-47 - Jakob Bossek, Heike Trautmann:
Evolving Instances for Maximizing Performance Differences of State-of-the-Art Inexact TSP Solvers. 48-59 - Mauro Brunato, Roberto Battiti:
Extreme Reactive Portfolio (XRP): Tuning an Algorithm Population for Global Optimization. 60-74 - Laura Climent, Barry O'Sullivan, Steven D. Prestwich:
Bounding the Search Space of the Population Harvest Cutting Problem with Multiple Size Stock Selection. 75-90 - Aldy Gunawan, Hoong Chuin Lau, Mustafa Misir:
Designing and Comparing Multiple Portfolios of Parameter Configurations for Online Algorithm Selection. 91-106 - Lars Kotthoff, Ciaran McCreesh, Christine Solnon:
Portfolios of Subgraph Isomorphism Algorithms. 107-122 - Yuri Malitsky, Marius Merschformann, Barry O'Sullivan, Kevin Tierney:
Structure-Preserving Instance Generation. 123-140 - Lucien Mousin, Laetitia Jourdan, Marie-Éléonore Kessaci-Marmion, Clarisse Dhaenens:
Feature Selection Using Tabu Search with Learning Memory: Learning Tabu Search. 141-156 - Zongxu Mu, Holger H. Hoos, Thomas Stützle:
The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-Art Inexact TSP Solvers. 157-172 - Gilles Simonin, Barry O'Sullivan:
Requests Management for Smartphone-Based Matching Applications Using a Multi-agent Approach. 173-186 - Teck-Hou Teng, Stephanus Daniel Handoko, Hoong Chuin Lau:
Self-organizing Neural Network for Adaptive Operator Selection in Evolutionary Search. 187-202 - Lin Xu, Ashiqur R. KhudaBukhsh, Holger H. Hoos, Kevin Leyton-Brown:
Quantifying the Similarity of Algorithm Configurations. 203-217
Short Papers
- Tommaso Adamo, Tobia Calogiuri, Gianpaolo Ghiani, Antonio Grieco, Emanuela Guerriero, Emanuele Manni:
Neighborhood Synthesis from an Ensemble of MIP and CP Models. 221-226 - Roberto Amadini, Maurizio Gabbrielli, Jacopo Mauro:
Parallelizing Constraint Solvers for Hard RCPSP Instances. 227-233 - Nguyen Dang Thi Thanh, Patrick De Causmaecker:
Characterization of Neighborhood Behaviours in a Multi-neighborhood Local Search Algorithm. 234-239 - Robinson Duque, Juan Francisco Díaz, Alejandro Arbelaez:
Constraint Programming and Machine Learning for Interactive Soccer Analysis. 240-246 - Eduardo Lalla-Ruiz, Silvia Schwarze, Stefan Voß:
A Matheuristic Approach for the p-Cable Trench Problem. 247-252 - Marius Lindauer, Rolf-David Bergdoll, Frank Hutter:
An Empirical Study of Per-instance Algorithm Scheduling. 253-259 - Seongsoo Moon, Mary Inaba:
Dynamic Strategy to Diversify Search Using a History Map in Parallel Solving. 260-266 - Jakob Richter, Helena Kotthaus, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang:
Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies. 267-273 - Marlin W. Ulmer, Stefan Voß:
Risk-Averse Anticipation for Dynamic Vehicle Routing. 274-279
GENOPT Papers
- Konstantin Barkalov, Alexander Sysoyev, Ilya Lebedev, Vladislav Sovrasov:
Solving GENOPT Problems with the Use of ExaMin Solver. 283-295 - Eduardo Segredo, Eduardo Lalla-Ruiz, Emma Hart, Ben Paechter, Stefan Voß:
Hybridisation of Evolutionary Algorithms Through Hyper-heuristics for Global Continuous Optimisation. 296-305
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