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UOT 004
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Biblioqrafik təsvir | Alguliyev , R.M. pSum-SaDE: AModified p-Median Problem and Self-Adaptive Differential Evolution Algorithm for Text Summarization / R.M. Alguliyev , R.M. Aliguliyev , C.A. Mehdiyev // Applied Computational Intelligence and Soft Computing. - 2011. - N: article 351498.- P. 13. | Annotasiya | Extractive multidocument summarization is modeled as a modified p-median problem. The problem is formulated with taking
into account four basic requirements, namely, relevance, information coverage, diversity, and length limit that should satisfy
summaries. To solve the optimization problem a self-adaptive differential evolution algorithm is created. Differential evolution has
been proven to be an efficient and robust algorithm for many real optimization problems. However, it still may converge toward
local optimum solutions, need to manually adjust the parameters, and finding the best values for the control parameters is a consuming
task. In the paper is proposed a self-adaptive scaling factor in original DE to increase the exploration and exploitation ability.
This paper has found that self-adaptive differential evolution can efficiently find the best solution in comparison with the canonical
differential evolution. We implemented our model on multi-document summarization task. Experiments have shown that
the proposed model is competitive on the DUC2006 dataset. | Elektron variant | Elektron variant |
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