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SIAMSC
2010
104views more  SIAMSC 2010»
14 years 8 months ago
A New Sobolev Gradient Method for Direct Minimization of the Gross--Pitaevskii Energy with Rotation
Abstract. In this paper we improve traditional steepest descent methods for the direct minimization of the Gross-Pitaevskii (GP) energy with rotation at two levels. We first defi...
Ionut Danaila, Parimah Kazemi
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
14 years 4 months ago
Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
Zahra Khanmirzaei, Mohammad Teshnehlab
EC
2008
174views ECommerce» more  EC 2008»
14 years 9 months ago
Automated Design of Image Operators that Detect Interest Points
This work describes how evolutionary computation can be used to synthesize lowlevel image operators that detect interesting points on digital images. Interest point detection is a...
Leonardo Trujillo, Gustavo Olague
AUSAI
2005
Springer
15 years 3 months ago
Accelerating Real-Valued Genetic Algorithms Using Mutation-with-Momentum
: In a canonical genetic algorithm, the reproduction operators (crossover and mutation) are random in nature. The direction of the search carried out by the GA system is driven pur...
Luke Temby, Peter Vamplew, Adam Berry
ICML
2003
IEEE
15 years 2 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens