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IWANN
2001
Springer
15 years 8 months ago
Evolving RBF Neural Networks
This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this ...
Víctor Manuel Rivas Santos, Pedro A. Castil...
132
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GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
15 years 9 months ago
Genetic algorithms using low-discrepancy sequences
The random number generator is one of the important components of evolutionary algorithms (EAs). Therefore, when we try to solve function optimization problems using EAs, we must ...
Shuhei Kimura, Koki Matsumura
159
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IJON
2006
103views more  IJON 2006»
15 years 3 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
158
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ESA
1995
Springer
182views Algorithms» more  ESA 1995»
15 years 7 months ago
A Geometric Approach to Betweenness
An input to the betweenness problem contains m constraints over n real variables (points). Each constraint consists of three points, where one of the points is specified to lie in...
Benny Chor, Madhu Sudan
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 7 months ago
Pairwise sequence comparison for fitness evaluation in evolutionary structural software testing
Evolutionary algorithms are among the metaheuristic search methods that have been applied to the structural test data generation problem. Fitness evaluation methods play an import...
H. Turgut Uyar, A. Sima Etaner-Uyar, A. Emre Harma...