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» Function Optimization with Coevolutionary Algorithms
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GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
14 years 4 months ago
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data
This paper describes an extension to the Restricted Growth Function grouping Genetic Algorithm applied to the Consensus Clustering of a retinal nerve fibre layer data-set. Consens...
Stephen Swift, Allan Tucker, Jason Crampton, David...
GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
14 years 1 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan
GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
14 years 2 months ago
BBOB-benchmarking two variants of the line-search algorithm
The restarted line search, or coordinate-wise search, algorithm is tested on the BBOB 2009 testbed. Two different univariate search algorithms (fminbnd from MATLAB and STEP) were...
Petr Posik
GECCO
2008
Springer
146views Optimization» more  GECCO 2008»
13 years 11 months ago
Automatic circle detection on images with an adaptive bacterial foraging algorithm
This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images. The algorithm is based on a recently developed swarm-intellige...
Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Aj...
GECCO
2000
Springer
108views Optimization» more  GECCO 2000»
14 years 1 months ago
Hierarchical Problem Solving and the Bayesian Optimization Algorithm
The paper discusses three major issues. First, it discusses why it makes sense to approach problems in a hierarchical fashion. It de nes the class of hierarchically decomposable f...
Martin Pelikan, David E. Goldberg