Includes bibliographical references and index.

This book constitutes the thoroughly refereed post-proceedings of the 5th International Conference on Artificial Evolution, EA 2001, held in Le Creusot, France, in October 2001. The 28 revised full papers presented together with an invited paper were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on theoretical issues, algorithmic issues, applications, implementation issues, genetic programming, constraint handling, and co-evolution and agent systems.

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.