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GECCO
2005
Springer
219views Optimization» more  GECCO 2005»
16 years 9 days ago
An evolutionary lagrangian method for the 0/1 multiple knapsack problem
We propose a new evolutionary approach to solve the 0/1 multiple knapsack problem. We approach the problem from a new viewpoint different from traditional methods. The most remar...
Yourim Yoon, Yong-Hyuk Kim, Byung Ro Moon
ECCV
2010
Springer
16 years 3 days ago
2D Action Recognition Serves 3D Human Pose Estimation
3D human pose estimation in multi-view settings benefits from embeddings of human actions in low-dimensional manifolds, but the complexity of the embeddings increases with the num...
GLOBECOM
2009
IEEE
15 years 10 months ago
Joint Channel and Echo Impulse Response Shortening for High-Speed Data Transmission
The unit-norm constraint optimization for joint shortening of channel and echo impulse response is presented in this paper. The optimization is performed in the mean-square sense (...
Ali Enteshari, Jarir M. Fadlullah, Mohsen Kavehrad
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 10 months ago
Structure and metaheuristics
Metaheuristics have often been shown to be effective for difficult combinatorial optimization problems. The reason for that, however, remains unclear. A framework for a theory of ...
Yossi Borenstein, Riccardo Poli
GECCO
2009
Springer
129views Optimization» more  GECCO 2009»
15 years 10 months ago
Evolutionary functional testing of continuous control systems
Evolutionary functional testing is an approach to automatically generating test cases that violate a certain functional system requirement. This paper proposes an approach suitabl...
Andreas Windisch, Felix Lindlar, Sebastian Topuz, ...