author : Leila Kallel

comprising tutorials and technical papers

Contents

• Andy J. Keane.

Introduction to Evolutionary Computing in Design Search and Optimisation

• Agoston E. Eiben.

Evolutionary Algorithms and Constraint Satisfaction: Definitions, Survey, Methodology, and Research Directions

• Jonathan E. Rowe.

The Dynamical Systems Model of the Simple Genetic Algorithm

• A. Prugel-Bennett, Alex Rogers.

Modelling Genetic Algorithm Dynamics

• J. L. Shapiro.

Statistical Mechanics Theory of Genetic Algorithms

• Hans-Georg Beyer, D. V. Arnold.

Theory of Evolution Strategies - A Tutorial

• Heinz Muhlenbein, T. Mahnig.

Evolutionary Algorithms: From Recombination to Search Distributions

• Leila Kallel, Bart Naudts, Colin R. Reeves.

Properties of Fitness Functions and Search Landscapes

• Alex Rogers, A. Prugel-Bennett.

A Solvable Model of a Hard Optimisation Problem

• M. Oates, J. Smedley, David W. Corne, R. Loader.

Bimodal Performance Profile of Evolutionary Search and the Effects of Crossover

• D. V. Arnold.

Evolution Strategies in Noisy Environments - A Survey of Existing Work

• Jonathan E. Rowe.

Cyclic Attractors and Quasispecies Adaptability

• Christopher Ronnewinkel, Claus O. Wilke, Thomas Martinetz.

Genetic Algorithms in Time-Dependent Environments

• A. Berny.

Statistical Machine Learning and Combinatorial Optimization

• C. A. Schippers.

Multi-Parent Scanning Crossover and Genetic Drift

• E. J. Burkowski.

Harmonic Recombination for Evolutionary Computation

• J. Garnier, Leila Kallel.

How to Detect all Maxima of a Function

• T. Jansen.

On Classifications of Fitness Functions

• A. Marino.

Genetic Search on Highly Symmetric Solution Spaces: Preliminary Results

• P. Stagge, C. Igel.

Structure Optimization and Isomorphisms

• C. Van Hoyweghen.

Detecting Spin-Flip Symmetry in Optimization Problems

• P. Del Moral, L. Miclo.

Asymptotic Results for Genetic Algorithms with Applications to Nonlinear Estimation