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Particle swarm optimization (PSO) algorithms are now being practiced for more than a decade and have been extended to solve various types of optimization problems. However, straightforward application of PSO suffers from premature convergence and lacks of intensification around the local best locations. In this paper, we propose a new particle swarm optimization strategy, namely, particle swarm optimization...
How to reduce more of the image dimensions without losing the main features of the image is highlighted in the research of Web content-based image retrieval. This paper started by analysis of commonly used methods for the dimension reduction of Web images, followed by proposing dimensionality reduction method that is based on HSV features, where the HSV color histogram intersection was used as the...
The most issue is designing the fitness function of the chromosome when Generic algorithm is been used for gcalculating the minimal attribute reduction in rough set theory. But with the existed fitness function of the chromosome, the one that the value of the fitness function is larger might not be an attribute reduction. So the optimization candidate attribute reduction might not be the minimal attribute...
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