Artifical Evolution 9th International Conference, Evolution Artificielle, EA, 2009, Strasbourg, France, October 26-28, 2009. Revised Selected Papers /

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Collet, Pierre (Επιμελητής έκδοσης), Monmarché, Nicolas (Επιμελητής έκδοσης), Legrand, Pierrick (Επιμελητής έκδοσης), Schoenauer, Marc (Επιμελητής έκδοσης), Lutton, Evelyne (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Lecture Notes in Computer Science, 5975
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.