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» Modeling GA Performance for Control Parameter Optimization
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IWANN
2009
Springer
15 years 8 months ago
Automatic Generation of Biped Walk Behavior Using Genetic Algorithms
Controlling a biped robot with several degrees of freedom is a challenging task that takes the attention of several researchers in the fields of biology, physics, electronics, com...
Hugo Picado, Marcos Gestal, Nuno Lau, Luís ...
IJNSEC
2007
147views more  IJNSEC 2007»
15 years 1 months ago
A Genetic Algorithm for Cryptanalysis of DES-8
Various cryptosystems exploit exhaustive techniques to search, missing-the-mark, key space. Such search techniques should be guided in order to be computationally adequate. Here, ...
Hasan Mohammed Hasan Husein, Bayoumi I. Bayoumi, F...
LION
2009
Springer
129views Optimization» more  LION 2009»
15 years 8 months ago
Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...
Vasileios L. Georgiou, Sonia Malefaki, Konstantino...
PLDI
2003
ACM
15 years 6 months ago
Compile-time dynamic voltage scaling settings: opportunities and limits
With power-related concerns becoming dominant aspects of hardware and software design, significant research effort has been devoted towards system power minimization. Among run-t...
Fen Xie, Margaret Martonosi, Sharad Malik
124
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IJCAI
1993
15 years 2 months ago
Anytime Sensing Planning and Action: A Practical Model for Robot Control
Anytime algorithms, whose quality of results improves gradually as computation time increases, provide useful performance components for timecritical planning and control of robot...
Shlomo Zilberstein, Stuart J. Russell