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ICDAR
2003
IEEE
16 years 27 days ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke
LCN
1997
IEEE
15 years 11 months ago
The Optimal Virtual Path Design of ATM Networks
This paper studies the optimal configuration of virtual paths in ATM networks. A linear model that minimizes the mrximumjow density of links is proposed for the optimal virtual pa...
Zhigang Qin, Tetiana Lo, Felix F. Wu
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
15 years 11 months ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
ACMSE
2008
ACM
15 years 9 months ago
Training approaches in neural enhancement for multiobjective optimization
In previous work, a neural network was used to increase the number of solutions found by an evolutionary multiobjective optimization algorithm. In this paper, various approaches a...
Aaron Garrett, Gerry V. Dozier
CEC
2010
IEEE
15 years 8 months ago
Optimization of biogas production with computational intelligence a comparative study
Biogas plants are reliable sources of energy based on renewable materials including organic waste. There is a high demand from industry to run these plants efficiently, which lead...
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oli...