Evolutionary Programming VI

Complexity formalisms, order and disorder in the structure of art.- Searching real-valued synaptic weights of Hopfield's associative memory using evolutionary programming.- The application of evolutionary computation to selected problems in molecular biology.- PEPNet: Parallel evolutionary programming for constructing artificial neural networks.- Scaling behavior of the evolution strategy when evolving neuronal control architectures for autonomous agents.- Swarm: An object oriented simulation platform applied to markets and organizations.- An agent-based computational model for the evolution of trade networks.- Performance enhanced genetic programming.- Comparing subtree crossover with macromutation.- Musica ex machina: Composing 16th-century counterpoint with genetic programming and symbiosis.- Design of a high-gain operational amplifier and other circuits by means of genetic programming.- Modeling speculators with genetic programming.- Fast evolution strategies.- Airspace congestion smoothing by stochastic optimization.- Evolian: Evolutionary optimization based on lagrangian with constraint scaling.- Solving static and dynamic fuzzy constraint networks using evolutionary hill-climbing.- Applying family competition to evolution strategies for constrained optimization.- Multi-operator evolutionary programming: A preliminary study on function optimization.- Supporting polyploidy in genetic algorithms using dominance vectors.- An individually variable mutation-rate strategy for genetic algorithms.- Inductive learning of mutation step-size in evolutionary parameter optimization.- A note on the escape probabilities for two alternative methods of selection under Gaussian mutation.- Raising theoretical questions about the utility of genetic algorithms.- Some geometric and algebraic results on crossover.- An analysis of evolutionary algorithms based on neighbourhood and step sizes.- Structuring pattern generalization through evolutionary techniques.- A cultural algorithm framework to evolve multiagent cooperation with evolutionary programming.- Tracking extrema in dynamic environments.- The dynamics of evolution strategies in the optimization of traveling salesman problems.- Exploring self-adaptive methods to improve the efficiency of generating approximate solutions to traveling salesman problems using evolutionary programming.- Optimizing fuel distribution through evolutionary programming.- Investigating parallel genetic algorithms on job shop scheduling problems.- Using evolutionary programming for finite element problems.- Gaining insight into evolutionary programming through landscape visualization: An investigation into IIR filtering.- Evolution of intelligently interactive behaviors for simulated forces.- Combining robot control strategies using genetic algorithms with memory.- Using cultural algorithm with evolutionary computing to extract site location decisions from spatio-temporal databases.