Learning and Intelligent Optimization 4th International Conference, LION 4, Venice, Italy, January 2010. Selected Papers
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2010, 2010
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| Edition: | 1st ed. 2010 |
| Series: | Theoretical Computer Science and General Issues
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Multiclass Visual Classifier Based on Bipartite Graph Representation of Decision Tables
- Main Track (Short Papers)
- A Linear Approximation of the Value Function of an Approximate Dynamic Programming Approach for the Ship Scheduling Problem
- A Multilevel Scheme with Adaptive Memory Strategy for Multiway Graph Partitioning
- A Network Approach for Restructuring the Korean Freight Railway Considering Customer Behavior
- A Parallel Multi-Objective Evolutionary Algorithm for Phylogenetic Inference
- Convergence of Probability Collectives with Adaptive Choice of Temperature Parameters
- Generative Topographic Mapping for Dimension Reduction in Engineering Design
- Learning Decision Trees for the Analysis of Optimization Heuristics
- On the Coordination of Multidisciplinary Design Optimization Using Expert Systems
- On the Potentials of Parallelizing Large Neighbourhood Search forRich Vehicle Routing Problems
- Optimized Ensembles for Clustering Noisy Data
- Stochastic Local Search for the Optimization of Secondary Structure Packing in Proteins
- Systematic Improvement of Monte-Carlo Tree Search with Self-generated Neural-Networks Controllers
- Special Session: LION-SWOP
- Grapheur: A Software Architecture for Reactive and Interactive Optimization
- The EvA2 Optimization Framework
- Special Session: LION-CCEC
- Feature Extraction from Optimization Data via DataModeler’s Ensemble Symbolic Regression
- Special Session: LION-PP
- Understanding TSP Difficulty by Learning from Evolved Instances
- Time-Bounded Sequential Parameter Optimization
- Pitfalls in Instance Generation for Udine Timetabling
- Special Session: LION-MOME
- A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D
- An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones
- On the Distribution of EMOA Hypervolumes
- Main Track (Regular Papers)
- A Column Generation Heuristic for the General Vehicle Routing Problem
- A Combination of Evolutionary Algorithm, Mathematical Programming, and a New Local Search Procedure for the Just-In-Time Job-Shop Scheduling Problem
- A Math-Heuristic Algorithm for the DNA Sequencing Problem
- A Randomized Iterated Greedy Algorithm for the Founder Sequence Reconstruction Problem
- Adaptive “Anytime” Two-Phase Local Search
- Adaptive Filter SQP
- Algorithm Selection as a Bandit Problem with Unbounded Losses
- Bandit-Based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis
- Consistency Modifications for Automatically Tuned Monte-Carlo Tree Search
- Distance Functions, Clustering Algorithms and Microarray Data Analysis
- Gaussian Process Assisted Particle Swarm Optimization
- Learning of Highly-Filtered Data Manifold Using Spectral Methods
- Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer