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» Introduction to genetic algorithms
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ROBOTICA
2002
72views more  ROBOTICA 2002»
15 years 1 months ago
Point-to-Point trajectory planning of flexible redundant robot manipulators using genetic algorithms
: The paper focuses on the problem of point-to-point trajectory planning for flexible redundant robot manipulators (FRM) in joint space. Compared with irredundant flexible manipula...
Shigang Yue, Dominik Henrich, W. L. Xu, S. K. Tso
113
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TIP
1998
103views more  TIP 1998»
15 years 1 months ago
Technique for fractal image compression using genetic algorithm
—A new method for fractal image compression is proposed using genetic algorithm (GA) with elitist model. The self transformability property of images is assumed and exploited in ...
Suman K. Mitra, C. A. Murthy, Malay Kumar Kundu
114
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NCA
2007
IEEE
15 years 1 months ago
A computational strategy exploiting genetic algorithms to recover color surface reflectance functions
—Information about the spectral reflectance of a color surface is useful in many applications. Assuming that reflectance functions can be adequately approximated by a linear comb...
Raimondo Schettini, Silvia Zuffi
IEEEHPCS
2010
14 years 11 months ago
Fast learning for multibiometrics systems using genetic algorithms
The performance (in term of error rate) of biometric systems can be improved by combining them. Multiple fusion techniques can be applied from classical logical operations to more...
Romain Giot, Mohamad El-Abed, Christophe Rosenberg...
105
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IC3
2009
14 years 11 months ago
A Hybrid Grouping Genetic Algorithm for Multiprocessor Scheduling
Abstract. This paper describes a hybrid grouping genetic algorithm for a multiprocessor scheduling problem, where a list of tasks has to be scheduled on identical parallel processo...
Alok Singh, Marc Sevaux, André Rossi