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GECCO
2003
Springer
114views Optimization» more  GECCO 2003»
14 years 1 months ago
Learning the Ideal Evaluation Function
Abstract. Designing an adequate fitness function requiressubstantial knowledge of a problem and of features that indicate progress towards a solution. Coevolution takes the human ...
Edwin D. de Jong, Jordan B. Pollack
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 1 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
14 years 1 months ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
GECCO
2003
Springer
105views Optimization» more  GECCO 2003»
14 years 1 months ago
The Underlying Similarity of Diversity Measures Used in Evolutionary Computation
In this paper we compare and analyze the various diversity measures used in the Evolutionary Computation field. While each measure looks quite different from the others in form, we...
Mark Wineberg, Franz Oppacher
GECCO
2003
Springer
106views Optimization» more  GECCO 2003»
14 years 1 months ago
Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA
Abstract. Using a well-known cooperative coevolutionary function optimization framework, a very simple cooperative coevolutionary (1+1) EA is defined. This algorithm is investigat...
Thomas Jansen, R. Paul Wiegand