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This paper proposes a Support Vector Machine integration methodology, which is based on dynamic selection method. Using FCM-SD algorithm, an improved method from FCM and closeness degree algorithms, the effective neighborhood of the discriminated sample is determined. Furthermore, based on the accuracies of segment classifications, a set of optimal individual classifiers are selected. Finally a weighted...
By exploiting idle time on volunteer machines, desktop grids provide a way to execute large sets of tasks with negligible maintenance and low cost. Although desktop grids are attractive for cost-conscious projects, relying on external resources may compromise the correctness of application execution due to the well-known unreliability of nodes. In this paper, we consider the most challenging threat...
Based on plant growth simulation algorithm (PHAGES), we propose a bionics algorithm for solving facility location problems. We compare the calculating results of PGSA with genetic algorithm (GA) for distribution center location problem, and the result approves PGSA is better than GA on accuracy. Further more, selecting 50 customers randomly, we solve Weber location problem with different facility...
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