Global convergence of genetic algorithms: A markov chain analysis -- The theory of virtual alphabets -- Towards an optimal mutation probability for genetic algorithms -- An alternative Genetic Algorithm -- An analysis of the interacting roles of population size and crossover in genetic algorithms -- Gleam a system for simulated "intuitive learning" -- Genetic algorithms and highly constrained problems: The time-table case -- An evolution standing on the design of redundant manipulators -- Redundant coding of an NP-complete problem allows effective Genetic Algorithm search -- Circuit partitioning with genetic algorithms using a coding scheme to preserve the structure of a circuit -- Genetic algorithms, production plan optimisation and scheduling -- System identification using genetic algorithms -- Conformational analysis of DNA using genetic algorithms -- Operator-oriented genetic algorithm and its application to sliding block puzzle problem -- A topology exploiting genetic algorithm to control dynamic systems -- Genetic local search algorithms for the traveling salesman problem -- Genetic programming artificial nervous systems artificial embryos and embryological electronics -- Concept formation and decision tree induction using the genetic programming paradigm -- On solving travelling salesman problems by genetic algorithms -- Genetic algorithms and punctuated equilibria in VLSI -- Implementing the genetic algorithm on transputer based parallel processing systems -- Explicit parallelism of genetic algorithms through population structures -- Parallel genetic packing of rectangles -- Partitioning a graph with a parallel genetic algorithm -- Solving the mapping-problem - Experiences with a genetic algorithm -- Optimization using distributed genetic algorithms -- Application of the Evolutionsstrategie to discrete optimization problems -- A variant of evolution strategies for vector optimization -- Application of evolution strategy in parallel populations -- Global optimization by means of distributed evolution strategies -- Solving sequential games with Boltzmann-learned tactics -- Optimizing simulated annealing -- Parallel Implementations Of Simulated Annealing / A local timing model for parallel optimization with Boltzmann Machines -- Error-free parallel implementation of simulated annealing -- Trimm: A parallel processor for image reconstruction by simulated annealing -- The response-time constraint in neural evolution -- An artificial neural network representation for artificial organisms -- Feature construction for back-propagation -- Improved convergence rate of back-propagation with dynamic adaption of the learning rate -- Performance evaluation of evolutionarily created neural network topologies -- Optical image preprocessing for neural network classifier system -- Gannet: Genetic design of a neural net for face recognition -- The application of a genetic approach as an algorithm for neural networks -- Genetic improvements of feedforward nets for approximating functions -- Exploring adaptive agency III: Simulating the evolution of habituation and sensitization -- A learning strategy for neural networks based on a modified evolutionary strategy -- Genetic algorithms and the immune system -- Selectionist categorization -- A classifier system with integrated genetic operators -- The fuzzy classifier system: Motivations and first results -- Hints for adaptive problem solving gleaned from immune networks -- A reactive robot navigation system based on a fluid dynamics metaphor -- Transfer of natural metaphors to parallel problem solving applications -- Modelling and simulation of distributed evolutionary search processes for function optimization -- Parallel, decentralized spatial mapping for robot navigation and path planning -- Ecological dynamics under different selection rules in distributed and iterated prisoner's dilemma game -- Adaptation in signal spaces -- A principle of minimum complexity in evolution -- The emergence of data structures from local interactions -- The view from the adaptive landscape -- Boltzmann-, Darwin- and Haeckel-strategies in optimization problems -- Optimizing complex problems by nature's algorithms: Simulated annealing and evolution strategy-a comparative study -- Genetic Algorithms and evolution strategies: Similarities and differences -- Building the ultimate machine: The emergence of artificial cognition.