Artificial Evolution 9th International Conference, Evolution Artificielle, EA 2009, Strasbourg, France, October 26-28, 2009. Revised Selected Papers /
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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Edición: | 1st ed. 2010. |
Colección: | Theoretical Computer Science and General Issues,
5975 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Theory
- Extremal Optimization Dynamics in Neutral Landscapes: The Royal Road Case
- Improving the Scalability of EA Techniques: A Case Study in Clustering
- Ant Colony Optimization
- MC-ANT: A Multi-Colony Ant Algorithm
- Applications
- Artificial Evolution for 3D PET Reconstruction
- A Hybrid Genetic Algorithm/Variable Neighborhood Search Approach to Maximizing Residual Bandwidth of Links for Route Planning
- Parallelization of an Evolutionary Algorithm on a Platform with Multi-core Processors
- On the Difficulty of Inferring Gene Regulatory Networks: A Study of the Fitness Landscape Generated by Relative Squared Error
- Combinatorial Optimization
- Memetic Algorithms for Constructing Binary Covering Arrays of Strength Three
- A Priori Knowledge Integration in Evolutionary Optimization
- Robotics
- On-Line, On-Board Evolution of Robot Controllers
- The Transfer of Evolved Artificial Immune System Behaviours between Small and Large Scale Robotic Platforms
- Multi-objective Optimization
- An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP
- Alternative Fitness Assignment Methods for Many-Objective Optimization Problems
- Genetic Programming
- Evolving Efficient List Search Algorithms
- Semantic Similarity Based Crossover in GP: The Case for Real-Valued Function Regression
- Genetic-Programming Based Prediction of Data Compression Saving
- Machine Learning
- On the Characteristics of Sequential Decision Problems and Their Impact on Evolutionary Computation and Reinforcement Learning.