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CEC
2010
IEEE
13 years 8 months ago
A novel memetic algorithm for constrained optimization
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
Jianyong Sun, Jonathan M. Garibaldi
TIP
1998
129views more  TIP 1998»
13 years 7 months ago
Minimax partial distortion competitive learning for optimal codebook design
— The design of the optimal codebook for a given codebook size and input source is a challenging puzzle that remains to be solved. The key problem in optimal codebook design is h...
Ce Zhu, Lai-Man Po
CODES
2003
IEEE
14 years 25 days ago
Design optimization of mixed time/event-triggered distributed embedded systems
Distributed embedded systems implemented with mixed, eventtriggered and time-triggered task sets, which communicate over bus protocols consisting of both static and dynamic phases...
Traian Pop, Petru Eles, Zebo Peng
ICPR
2000
IEEE
13 years 12 months ago
Modeling Range Images with Bounded Error Triangular Meshes without Optimization
This paper presents a new technique for approximating range images by means of adaptive triangular meshes with a bounded approximation error and without applying optimization. Thi...
Angel Domingo Sappa, Miguel Angel García
CVIU
2008
109views more  CVIU 2008»
13 years 7 months ago
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual st
In this paper we introduce a novel method to address minimization of static and dynamic MRFs. Our approach is based on principles from linear programming and, in particular, on pr...
Nikos Komodakis, Georgios Tziritas, Nikos Paragios