Artificial Evolution

Invited Paper.- Why Biologists and Computer Scientists Should Work Together.- Theoretical Issues.- Niching in Monte Carlo Filtering Algorithms.- Measurement of Population Diversity.- Prediction of Binary Sequences by Evolving Finite State Machines.- Extending Selection Learning toward Fixed-Length d-Ary Strings.- Markov Random Field Modelling of Royal Road Genetic Algorithms.- Measuring the Spatial Dispersion of Evolutionary Search Processes: Application to Walksat.- Algorithmic Issues.- The Importance of Selection Mechanisms in Distribution Estimation Algorithms.- Surrogate Deterministic Mutation: Preliminary Results.- The Effects of Partial Restarts in Evolutionary Search.- History and Immortality in Evolutionary Computation.- Applications.- Origins and Learnability of Syllable Systems: A Cultural Evolutionary Model.- Evolution Strategy in Portfolio Optimization.- Scatter Search for Graph Coloring.- The Two Stage Continuous Parallel Flow Shop Problem with Limited Storage: Modeling and Algorithms.- SAT, Local Search Dynamics and Density of States.- A Multiobjective Evolutionary Algorithm for Car Front End Design.- Implementation Issues.- EASEA Comparisons on Test Functions: GALib versus EO.- Evolving Objects: A General Purpose Evolutionary Computation Library.- Genetic Programming.- Backwarding: An Overfitting Control for Genetic Programming in a Remote Sensing Application.- Avoiding the Bloat with Stochastic Grammar-Based Genetic Programming.- Applying Boosting Techniques to Genetic Programming.- Constraints Handling.- Dual Evolutionary Optimization.- Using Evolutionary Algorithms Incorporating the Augmented Lagrangian Penalty Function to Solve Discrete and Continuous Constrained Non-linear Optimal Control Problems.- Coevolution and Agents Systems.- Cooperative Coevolution for Learning Fuzzy Rule-Based Systems.- Evolving Cooperative Ecosystems: A Multi-agent Simulation of Deforestation Activities.- The Impact of Environmental Structure on the Evolutionary Trajectories of a Foraging Agent.- Learning as a Consequence of Selection.- Coevolution and Evolving Parallel Cellular Automata-Based Scheduling Algorithms.