Learning and Intelligent Optimization 4th International Conference, LION 4, Venice, Italy, January 2010. Selected Papers /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Blum, Christian (Editor ), Battiti, Roberto (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Theoretical Computer Science and General Issues, 6073
Temas:
Algorithms.
Computer science.
Artificial intelligence.
Computer networks .
Pattern recognition systems.
Computer science-Mathematics.
Discrete mathematics.
Theory of Computation.
Artificial Intelligence.
Computer Communication Networks.
Automated Pattern Recognition.
Discrete Mathematics in Computer Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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
  • 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 for Rich 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
  • Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer.

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