Parallel problem solving from nature-PPSN V : 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998 : proceedings

Modelling genetic algorithms: From Markov chains to dependence with complete connections. - On the optimization of unimodal functions with the (1+1) evolutionary algorithm. - A timing analysis of convergence to fitness sharing equilibrium. - Where elitists start limping evolution strategies at ridge functions. - A bit-wise epistasis measure for binary search spaces. - Inside GA dynamics: Ground basis for comparison. - The effect of spin-flip symmetry on the performance of the simple GA. - Fitness distance correlation and Ridge functions. - Accelerating the convergence of evolutionary algorithms by fitness landscape approximation. - Modeling building-block interdependency. - Mutate large, but inherit small! On the analysis of rescaled mutations in ( )-ES with noisy fitness data. - Creating robust solutions by means of evolutionary algorithms. - Analytic curve detection from a noisy binary edge map using genetic algorithm. - A comparison of dominance mechanisms and simple mutation on non-stationary problems. - Adaptation to a changing environment by means of the feedback thermodynamical genetic algorithm. - Optimization with noisy function evaluations. - On risky methods for local selection under noise. - Polygenic inheritance - A haploid scheme that can outperform diploidy. - Averaging efficiently in the presence of noise. - Solving binary constraint satisfaction problems using evolutionary algorithms with an adaptive fitness function. - Varying fitness functions in genetic algorithms: Studying the rate of increase of the dynamic penalty terms. - Landscape changes and the performance of Mapping Based Constraint handling methods. - A decoder-based evolutionary algorithm for constrained parameter optimization problems. - A spatial predator-prey approach to multi-objective optimization: A preliminary study. - Selective breeding in a multiobjective genetic algorithm. - Niching and elitist models for MOGAs. - Parallel evolutionary optimisation with constraint propagation. - Methods to evolve legal phenotypes. - Multiobjective optimization using evolutionary algorithms - A comparative case study. - Utilizing dynastically optimal forma recombination in hybrid genetic algorithms. - Further experimentations on the scalability of the GEMGA. - Indexed memory as a generic protocol for handling vectors of data in genetic programming. - On genetic algorithms and lindenmayer systems. - Genome length as an evolutionary self-adaptation. - Restart scheduling for genetic algorithms. - A comparative study of global and local selection in evolution strategies. - UEGO, an abstract niching technique for global optimization. - Development of problem-specific evolutionary algorithms. - The effects of control parameters and restarts on search stagnation in evolutionary programming. - Accelerating the evolutionary-gradient-search procedure: Individual step sizes. - Extending population-based incremental learning to continuous search spaces. - Multi-parent recombination in genetic algorithms with search space boundary extension by mirroring. - Selective crossover in genetic algorithms: An empirical study. - Line-breeding schemes for combinatorial optimization. - Finding regions of uncertainty in learned models: An application to face detection. - On ZCS in multi-agent environments. - Empirical analysis of the factors that affect the Baldwin effect. - Promoting generalisation of learned behaviours in genetic programming. - Generalization in Wilson's classifier system. - Symbiotic coevolution of artificial neural networks and training data sets. - Information-theoretic analysis of a mobile agent's learning in a discrete state space. - The coevolution of antibodies for concept learning. - Does data-model co-evolution improve generalization performance of evolving learners? - A corporate classifier system. - Applying diffusion to a cooperative coevolutionary model. - Studying parallel evolutionary algorithms: The cellular programming case. - Learning to avoid moving obstacles optimally for mobile robots using a genetic-fuzzy approach. - Evolutionary neural networks for nonlinear dynamics modeling. - Hybrid distributed real-coded genetic algorithms. - Mechanisms of emergent computation in cellular automata. - Towards designing neural network ensembles by evolution. - Selection of training data for neural networks by a genetic algorithm. - Discovery with genetic algorithm scheduling strategies for cellular automata. - Simple + parallel + local = cellular computing. - Evolution, learning and speech recognition in changing acoustic environments. - Ant colonies for adaptive routing in packet-switched communications networks. - The stud GA: A mini revolution? - An island model based ant system with lookahead for the shortest supersequence problem. - Parameter-free Genetic Algorithm inspired by "disparity theory of evolution". - Immune network dynamics for inductive problem solving. - Parallelization strategies for Ant Colony Optimization. - Self-organising pattern formation: Fruit flies and cell phones. - A new genetic local search algorithm for graph coloring. - Improving the performance of evolutionary algorithms for the satisfiability problem by refining functions. - Memetic algorithms and the fitness landscape of the graph bi-partitioning problem. - Investigating evolutionary approaches to adaptive database management against various quality of service metrics. - Genetic algorithm behavior in the MAXSAT domain. - An adaptive mutation scheme for a penalty-based graph-colouring GA. - Inver-over operator for the TSP. - Repair and brood selection in the traveling salesman problem. - The Traveling Salesrep Problem, Edge Assembly Crossover, and 2-opt. - Load balancing in parallel circuit testing with annealing-based and genetic algorithms. - A heuristic combination method for solving job-shop scheduling problems. - Reduction of air traffic congestion by genetic algorithms. - Timetabling the classes of an entire university with an evolutionary algorithm. - Genetic algorithms for the Multiple Container Packing Problem. - Buffer memory optimization in DSP applications: An evolutionary approach. - The Breeder Genetic Algorithm for frequency assignment. - A permutation based Genetic Algorithm for minimum span frequency assignment. - Comparison of Evolutionary Algorithms for design optimization. - Aspects of digital evolution: Evolvability and architecture. - Integrated facility design using an evolutionary approach with a subordinate network algorithm. - An evolutionary algorithm for synthesizing optical thin-film designs. - Implementing genetic algorithms with sterical constraints for protein structure prediction. - Optimal placements of flexible objects: An adaptive simulated annealing approach. - Encapsulated Evolution strategies for the determination of group contribution model parameters in order to predict thermodynamic properties. - Recombination operators for evolutionary graph drawing. - Optimisation of density estimation models with evolutionary algorithms. - Genetic algorithm in parameter estimation of nonlinear dynamic systems. - Optimizing web page layout using an annealed genetic algorithm as client-side script. - Solving the capacitor placement problem in a radial distribution system using an adaptive genetic algorithm.