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GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
15 years 3 months ago
Convergence Examples of a Filter-Based Evolutionary Algorithm
Abstract. We describe and critique the convergence properties of filterbased evolutionary pattern search algorithms (F-EPSAs). F-EPSAs implicitly use a filter to perform a multi-...
Lauren M. Clevenger, William E. Hart
GECCO
2004
Springer
15 years 3 months ago
The Royal Road Not Taken: A Re-examination of the Reasons for GA Failure on R1
Previous work investigating the performance of genetic algorithms (GAs) has attempted to develop a set of fitness landscapes, called “Royal Roads” functions, which should be id...
Brian Howard, John Sheppard
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 3 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 3 months ago
Actuator Noise in Recombinant Evolution Strategies on General Quadratic Fitness Models
This paper addresses the influence of actuator noise on the steady state behavior of multirecombinant evolution strategies (ES) on general quadratic fitness functions. Actuator n...
Hans-Georg Beyer
GECCO
2004
Springer
15 years 3 months ago
A Polynomial Upper Bound for a Mutation-Based Algorithm on the Two-Dimensional Ising Model
Abstract. Fitness functions based on the Ising model are suited excellently for studying the adaption capabilities of randomised search heuristics. The one-dimensional Ising model ...
Simon Fischer