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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
ICRA
2010
IEEE
227views Robotics» more  ICRA 2010»
15 years 1 months ago
Efficient multi-view object recognition and full pose estimation
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
Alvaro Collet, Siddhartha S. Srinivasa
IJCNN
2007
IEEE
15 years 9 months ago
Parameter Optimization of PSS Based on Estimated Hessian Matrix from Trajectory Sensitivities
This paper describes the optimal tuning for the output limits of the power system stabilizer (PSS), which can improve the system damping performance immediately following a large d...
Seung-Mook Baek, Jung-Wook Park, Ganesh K. Venayag...
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
15 years 9 months ago
Dejong Function Optimization by Means of a Parallel Approach to Fuzzified Genetic Algorithm
Genetic Algorithms are very powerful search methods that are used in different optimization problems. Parallel versions of genetic algorithms are easily implemented and usually in...
Ebrahim Bagheri, Hossein Deldari
GLOBECOM
2008
IEEE
15 years 9 months ago
Global Optimal Routing, Scheduling and Power Control for Multi-Hop Wireless Networks with Interference
—We consider the problem of joint routing, scheduling and power control in multi-hop wireless networks. We use a linear relation between link capacity and signal to interference ...
Javad Kazemitabar, Vahid Tabatabaee, Hamid Jafarkh...