Evolutionary Programming VII

friendly part 1: Evolving the most convenient representations.- On making problems evolutionarily friendly part 2: Evolving the most convenient coordinate systems within which to pose (and solve) the given problem.- An experimental investigation of self-adaptation in evolutionary programming.- On the application of evolutionary pattern search algorithms.- The schema theorem and the misallocation of trials in the presence of stochastic effects.- On the "Explorative power" of ES/EP-like algorithms.- Resampling and its avoidance in genetic algorithms.- Evolutionary search for minimal elements in partially ordered finite sets.- Tailoring mutation to landscape properties.- A genetic programming methodology for missile countermeasures optimization under uncertainty.- Evolutionary algorithms for vertex cover.- An evolutionary self-learning methodology: Some preliminary results from a case study.- Evolving IIR filters in multipath environments.- Fuzzy partition and input selection by genetic algorithms for designing fuzzy rule-based classification systems.- Evolving nonlinear controllers for backing up a truck-and-trailer using evolutionary programming.- Reconstruction of DNA sequence information from a simulated DNA chip using evolutionary programming.- Using programmatic motifs and genetic programming to classify protein sequences as to cellular location.- Fully automated and rapid flexible docking of inhibitors covalently bound to serine proteases.- Microtubule networks as a medium for adaptive information processing.- Evolve IV: A metabolically-based artificial ecosystemmodel.- Sex, mate selection, and evolution.- Finding low energy conformations of atomic clusters using evolution strategies.- Estimating the distribution of neural connections in the saccadic system using a biologically plausible learning rule - Preliminary results.- Evolutionary algorithms combined with deterministic search.- Steady state memetic algorithm for partial shape matching.- A fully characterized test suite for genetic programming.- Genetic algorithms for belief network inference: The role of scaling and niching.- Building software frameworks for evolutionary computation.- Recorded step directional mutation for faster convergence.- The behavior of particles.- Parameter selection in particle swarm optimization.- Evolutionary optimization versus particle swarm optimization: Philosophy and performance differences.- Comparison between genetic algorithms and particle swarm optimization.- A hybrid evolutionary learning system for synthesizing neural network pattern recognition systems.- An evolutionary algorithm for designing feedforward neural networks.- Dual network representation applied to the evolution of neural controllers.- What does the landscape of a Hopfield associative memory look like?.- Visualization of evolutionary adaptation in R n.- On the application of cohort-driven operators to continuous optimization problems using evolutionary computation.- Random search versus genetic programming as engines for collective adaptation.- Optimal mutation and crossover rates for a genetic algorithm operating in a dynamic environment.- Local selection.- Asymmetric mutations for stochastic search.- Automated rule extraction for engine health monitoring.- Genetic programming for automatic target classification and recognition in synthetic aperture radar imagery.-Evolving heuristics for planning.- Solving cutting stock problems by evolutionary programming.- An empirical investigation of an evolutionary algorithm's ability to maintain a known good solution.- Evolving integrated low-level behaviors into intelligently interactive simulated forces.- Using offset invariant crossover as a tool for discovering cycle lengths of a periodic function.- Evolving a generalised behaviour: Artificial ant problem revisited.- Co-evolving functions in genetic programming: Dynamic ADF creation using GliB.- Evolving spatially-localized projection filters for SAR automatic target recognition.- Genetic programming in the overlapping generations model: An illustration with the dynamics of the inflation rate.