Theoretical Aspects of Evolutionary Computing

Contents

Tutorials

• Introduction to Evolutionnary Computing in Design Search and Optimisation
• Evolutionnary Algorithms and Constraint Satsfation: Definitions, Survey, Methodology, and Research Directions
• The Dynamical Systems Model of the Simple Genetic Algorithm
• Modelling Genetic Algorithm Dynamics
• Stastistical Mechanics Theory of Genetic Algorithms
• Theory of Evolution Strategies - A tutorial
• Evolutionnary Algorithms: From Recombination to Search Distributions
• Properties of Fitness Functions and Search landscapes

• A Solvable Model of a Hard Optimisation Problem
• Bimodal Performance Profile of Evolutionnary Search and Effects of Crossover
• Evolution Strategies in Noisy Environmants - A Survey of Existing Work
• Cyclic Attractors and Quasispecis Adaptability
• Genetic Algoritms in Time-Dependent Environments
• Stastistical Machine Learning and Combinatorial Optimization
• Multi-Parent Scanning Crossover and Genetic Drift
• Harmonic Recombination for Evolutionnary Computation
• How to Detect all Maxima of a Function
• On Classifications of Fitness Functions
• Genetic Search on Highly Symmetric Solution Spaces: Preliminary Results
• Structure Optimization and Isomorphisms
• Detecting Spin-Flip Symmetry in Optimization Problems
• Asymptotic Results for Genetic Algorithms with Applications to Nonlinear Estimation

• Index