1149 search results - page 57 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
3DPVT
2004
IEEE
15 years 2 months ago
2004
IEEE
This paper proposes the use of neural network ensembles to boost the performance of a neural network based surface reconstruction algorithm. Ensemble is a very popular and powerfu...
ICANNGA
2007
Springer
15 years 5 months ago
2007
Springer
A new method of genetic evolution of linear and nonlinear evaluation functions in the game of checkers is presented. Several practical issues concerning application of genetic algo...
NN
1998
Springer
14 years 10 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
EUROCAST
2003
Springer
15 years 4 months ago
2003
Springer
In this paper we introduce a new generic selection method for Genetic Algorithms. The main difference of this selection principle in contrast to conventional selection models is g...
GECCO
2007
Springer
15 years 5 months ago
2007
Springer
Simulated binary crossover (SBX) is a real-parameter recombination operator which is commonly used in the evolutionary algorithm (EA) literature. The operator involves a parameter...