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» Techniques for Optimization of Net Algorithms
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247
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CORR
2010
Springer
427views Education» more  CORR 2010»
15 years 1 months ago
A Comparison between Memetic algorithm and Genetic algorithm for the cryptanalysis of Simplified Data Encryption Standard algori
Genetic algorithms are a population-based Meta heuristics. They have been successfully applied to many optimization problems. However, premature convergence is an inherent charact...
Poonam Garg
ICANN
2007
Springer
15 years 9 months ago
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
Edmondo Trentin, Ernesto Di Iorio
120
Voted
ATVA
2005
Springer
132views Hardware» more  ATVA 2005»
15 years 9 months ago
Flat Counter Automata Almost Everywhere!
Abstract. This paper argues that flatness appears as a central notion in the verification of counter automata. A counter automaton is called flat when its control graph can be ...
Jérôme Leroux, Grégoire Sutre
CEC
2005
IEEE
15 years 9 months ago
Sequential parameter optimization
Abstract- Sequential parameter optimization is a heuristic that combines classical and modern statistical techniques to improve the performance of search algorithms. To demonstrate...
Thomas Bartz-Beielstein, Christian Lasarczyk, Mike...
GECCO
2009
Springer
142views Optimization» more  GECCO 2009»
15 years 10 months ago
A stopping criterion based on Kalman estimation techniques with several progress indicators
The need for a stopping criterion in MOEA’s is a repeatedly mentioned matter in the domain of MOOP’s, even though it is usually left aside as secondary, while stopping criteri...
José Luis Guerrero, Jesús Garc&iacut...