2. PPSN 1992:
Theory of Evolutionary Algorithms
: How Genetic Algorithms Really Work: Mutation and Hillclimbing.
Interactions between Operators
, O. Ben-Kiki
: The Interplay Among the Genetic Algorithm Operators: Information Theory Tools Used in a Holistic Way.
: The Interaction of Mutation Rate, Selection, and Self-Adaptation Within a Genetic Algorithm.
: On Correlated Mutations in Evolution Strategies.
Extensions of Evolutionary Algorithms
: An Evolution Strategy with Momentum Adaptation of the Random Number Distribution.
: Reproductive Isolation as Strategy Parameter in Hierarichally Organized Evolution Strategies.
Representations and Operators
: Exploiting Constraints as Background Knowledge for Genetic Algorithms: A Case-Study for Scheduling.
: The SAGA Cross: The Mechanics of Recombination for Species with Variable Length Genotypes.
Applications of Evolutionary Aplgorithms
: Integrating Genetic Algorithms with a Prolog Assignment Program as a Hybrid Solution for a Polytechnic Timetable Problem.
Computer Science and Engineering
: On the Self-Organisation of Pseudo-Randomness.
: Some Aspects of the `Evolution Strategiy' for Solving TSP-Like Optimization Problems Appearing at the Design Studies of a 0.5 TeV e+e--Linear Collider.
K. J. Hunt
: Optimal Control System Synthesis with Genetic Algorithms.
, F. Meyer
: Determination of Chemical Equilibria by means of an Evolution Strategy.
: Utilization of Stochastic Automata and Genetic Algorithms for Neural Network Learning.
Peter J. B. Hancock
: Recombination Operators for the Design of Neural Nets by Genetic Algorithm.
Other Biological Methaphors
: The Optimization of a Class of Functionals Based on Developmental Strategies.
: Bio/Computational Sources for PPSN Models.