№2, 2012
QUADRATIC BOOLEAN PROGRAMMING MODEL AND BINARY DIFFERENTIAL EVOLUTION ALGORITHM FOR TEXT SUMMARIZATION
We model multi-document summarization as a Quadratic Boolean Programing (QBP) problem where the objective function is a weighted combination of the content coverage and redundancy objectives. The objective function measures the possible summaries based on the identified salient sentences and overlap information between selected sentences. An innovative aspect of our model lies in its ability to remove redundancy while selecting representative sentences. The QBP problem has been solved by using a binary differential evolution algorithm. (pp. 20-29)
Keywords: text summarization, maximum coverage, less redundancy, optimization model, differential evolution algorithm
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