LION 3, the Third International Conference on Learning and Intelligent Op- mizatioN, was held during January 14–18 in Trento, Italy. The LION series of conferences provides a platform for researchers who are interested in the int- section of e?cient optimization techniques and learning. It is aimed at exploring the boundaries and uncharted territories between machine learning, arti?cial intelligence, mathematical programming and algorithms for hard optimization problems. The considerable interest in the topics covered by LION was re?ected by the overwhelming number of 86 submissions, which almost doubled the 48 subm- sions received for LION’s second edition in December 2007. As in the ?rst two editions, the submissions to LION 3 could be in three formats: (a) original novel and unpublished work for publication in the post-conference proceedings, (b) extended abstracts of work-in-progressor a position statement, and (c) recently submitted or published journal articles for oral presentations. The 86 subm- sions received include 72, ten, and four articles for categories (a), (b), and (c), respectively.
Author(s): Stefan Boettcher (auth.), Thomas Stützle (eds.)
Series: Lecture Notes in Computer Science 5851 : Theoretical Computer Science and General Issues
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Language: English
Pages: 273
Tags: Models and Principles; Artificial Intelligence (incl. Robotics); Special Purpose and Application-Based Systems; Data Mining and Knowledge Discovery; Information Storage and Retrieval
Front Matter....Pages -
Evolutionary Dynamics of Extremal Optimization....Pages 1-14
A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing....Pages 15-29
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks....Pages 30-44
New Bounds on the Clique Number of Graphs Based on Spectral Hypergraph Theory....Pages 45-58
Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows....Pages 59-73
Flexible Stochastic Local Search for Haplotype Inference....Pages 74-88
A Knowledge Discovery Approach to Understanding Relationships between Scheduling Problem Structure and Heuristic Performance....Pages 89-103
Fitness Landscape Analysis for the Resource Constrained Project Scheduling Problem....Pages 104-118
An ACO-Based Reactive Framework for Ant Colony Optimization: First Experiments on Constraint Satisfaction Problems....Pages 119-133
Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines....Pages 134-147
Position-Guided Tabu Search Algorithm for the Graph Coloring Problem....Pages 148-162
Corridor Selection and Fine Tuning for the Corridor Method....Pages 163-175
Dynamic Multi-Armed Bandits and Extreme Value-Based Rewards for Adaptive Operator Selection in Evolutionary Algorithms....Pages 176-190
Comparison of Coarsening Schemes for Multilevel Graph Partitioning....Pages 191-205
Cooperative Strategies and Reactive Search: A Hybrid Model Proposal....Pages 206-220
Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems....Pages 221-234
Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment....Pages 235-248
A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps....Pages 249-258
Substitution Matrices and Mutual Information Approaches to Modeling Evolution....Pages 259-272
Back Matter....Pages -
