Artificial Evolution: 7th International Conference, Evolution Artificielle, EA 2005, Revised Selected Papers: Lecture Notes in Computer Science, cartea 3871

Genetic Programming.- Santa Fe Trail Hazards.- Size Control with Maximum Homologous Crossover.- Machine Learning.- A New Classification-Rule Pruning Procedure for an Ant Colony Algorithm.- Swarm-Based Distributed Clustering in Peer-to-Peer Systems.- Simultaneous Optimization of Weights and Structure of an RBF Neural Network.- An Exponential Representation in the API Algorithm for Hidden Markov Models Training.- Applications.- Memetic Algorithms for the MinLA Problem.- Niching in Evolution Strategies and Its Application to Laser Pulse Shaping.- A Modified Genetic Algorithm for the Beam Angle Optimization Problem in Intensity-Modulated Radiotherapy Planning.- Combinatorial Optimization.- On a Property Analysis of Representations for Spanning Tree Problems.- A Cooperative Multilevel Tabu Search Algorithm for the Covering Design Problem.- Enhancements of NSGA II and Its Application to the Vehicle Routing Problem with Route Balancing.- The Importance of Scalability When Comparing Dynamic Weighted Aggregation and Pareto Front Techniques.- Co-evolution.- A Backbone-Based Co-evolutionary Heuristic for Partial MAX-SAT.- Analysing Co-evolution Among Artificial 3D Creatures.- Self-assembling.- A Critical View of the Evolutionary Design of Self-assembling Systems.- Algorithmic Self-assembly by Accretion and by Carving in MGS.- Evolutionary Design of a DDPD Model of Ligation.- Artificial Life and Bioinformatics.- Population Structure and Artificial Evolution.- Outlines of Artificial Life: A Brief History of Evolutionary Individual Based Models.- An Enhanced Genetic Algorithm for Protein Structure Prediction Using the 2D Hydrophobic-Polar Model.- Incorporating Knowledge of Secondary Structures in a L-System-Based Encoding for Protein Folding.- Advances.- The Electromagnetism Meta-heuristic Applied to the Resource-Constrained Project Scheduling Problem.- Applications of Racing Algorithms: An Industrial Perspective.- An Immunological Algorithm for Global Numerical Optimization.- Algorithms (X, sigma, eta): Quasi-random Mutations for Evolution Strategies.