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ORCID4th LION 2010: Veniceo, Italy
- Christian Blum, Roberto Battiti:
Learning and Intelligent Optimization, 4th International Conference, LION 4, Venice, Italy, January 18-22, 2010. Selected Papers. Lecture Notes in Computer Science 6073, Springer 2010, ISBN 978-3-642-13799-0
Main Track (Regular Papers)
- Asvin Goel
:
A Column Generation Heuristic for the General Vehicle Routing Problem. 1-9 - André Gustavo dos Santos, Rodolfo P. Araujo, José Elias Claudio Arroyo:
A Combination of Evolutionary Algorithm, Mathematical Programming, and a New Local Search Procedure for the Just-In-Time Job-Shop Scheduling Problem. 10-24 - Marco Caserta, Stefan Voß:
A Math-Heuristic Algorithm for the DNA Sequencing Problem. 25-36 - Stefano Benedettini, Christian Blum, Andrea Roli:
A Randomized Iterated Greedy Algorithm for the Founder Sequence Reconstruction Problem. 37-51 - Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle:
Adaptive "Anytime" Two-Phase Local Search. 52-67 - Alessandro Turco:
Adaptive Filter SQP. 68-81 - Matteo Gagliolo, Jürgen Schmidhuber:
Algorithm Selection as a Bandit Problem with Unbounded Losses. 82-96 - Philippe Rolet, Olivier Teytaud:
Bandit-Based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis. 97-110 - Vincent Berthier, Hassen Doghmen, Olivier Teytaud:
Consistency Modifications for Automatically Tuned Monte-Carlo Tree Search. 111-124 - Raffaele Giancarlo, Giosuè Lo Bosco, Luca Pinello:
Distance Functions, Clustering Algorithms and Microarray Data Analysis. 125-138 - Marcel Kronfeld, Andreas Zell:
Gaussian Process Assisted Particle Swarm Optimization. 139-153 - Oleg Roderick, Ilya Safro:
Learning of Highly-Filtered Data Manifold Using Spectral Methods. 154-168 - Kazuya Haraguchi, Seok-Hee Hong, Hiroshi Nagamochi:
Multiclass Visual Classifier Based on Bipartite Graph Representation of Decision Tables. 169-183
Main Track (Short Papers)
- Kazuhiro Kobayashi:
A Linear Approximation of the Value Function of an Approximate Dynamic Programming Approach for the Ship Scheduling Problem. 184-187 - Hideki Hashimoto, Youhei Sonobe, Mutsunori Yagiura:
A Multilevel Scheme with Adaptive Memory Strategy for Multiway Graph Partitioning. 188-191 - Suk-Mun Oh, In-Chan Choi:
A Network Approach for Restructuring the Korean Freight Railway Considering Customer Behavior. 192-195 - Waldo Cancino Ticona, Laetitia Jourdan, El-Ghazali Talbi, Alexandre C. B. Delbem:
A Parallel Multi-Objective Evolutionary Algorithm for Phylogenetic Inference. 196-199 - Michalis Smyrnakis, David S. Leslie:
Convergence of Probability Collectives with Adaptive Choice of Temperature Parameters. 200-203 - Asha Viswanath, Alexander I. J. Forrester, Andy J. Keane:
Generative Topographic Mapping for Dimension Reduction in Engineering Design. 204-207 - Marco Chiarandini:
Learning Decision Trees for the Analysis of Optimization Heuristics. 208-211 - Andrew R. Price, Andy J. Keane, Carren M. E. Holden:
On the Coordination of Multidisciplinary Design Optimization Using Expert Systems. 212-215 - Paul Bartodziej, Ulrich Derigs, Ulrich Vogel:
On the Potentials of Parallelizing Large Neighbourhood Search for Rich Vehicle Routing Problems. 216-219 - Mihaela Elena Breaban:
Optimized Ensembles for Clustering Noisy Data. 220-223 - Leonidas Kapsokalivas:
Stochastic Local Search for the Optimization of Secondary Structure Packing in Proteins. 224-227 - Fan Xie, Zhiqing Liu, Yu Wang, Wenhao Huang, Shuo Wang:
Systematic Improvement of Monte-Carlo Tree Search with Self-generated Neural-Networks Controllers. 228-231
Special Session: LION-SWOP
- Mauro Brunato, Roberto Battiti:
Grapheur: A Software Architecture for Reactive and Interactive Optimization. 232-246 - Marcel Kronfeld, Hannes Planatscher, Andreas Zell:
The EvA2 Optimization Framework. 247-250
Special Session: LION-CCEC
- Kalyan Veeramachaneni, Katya Vladislavleva, Una-May O'Reilly:
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression. 251-265
Special Session: LION-PP
- Kate Smith-Miles, Jano I. van Hemert, Xin Yu Lim:
Understanding TSP Difficulty by Learning from Evolved Instances. 266-280 - Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Kevin P. Murphy:
Time-Bounded Sequential Parameter Optimization. 281-298 - Leo Lopes, Kate Smith-Miles:
Pitfalls in Instance Generation for Udine Timetabling. 299-302
Special Session: LION-MOME
- Antonio J. Nebro, Juan José Durillo:
A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D. 303-317 - Ankur Sinha, Pekka J. Korhonen, Jyrki Wallenius, Kalyanmoy Deb:
An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones. 318-332 - Olaf Mersmann, Heike Trautmann, Boris Naujoks, Claus Weihs:
On the Distribution of EMOA Hypervolumes. 333-337 - Paolo Campigotto, Andrea Passerini:
Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer. 338-341
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