Multiple documents summarization based on evolutionary optimization algorithm

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TL;DR: Mining Reddit to Learn Automatic Summarization (2017, methodology): “…systems, past research has focused on the use of various optimization methods—such as non-negative matrix factorization (Lee et al., 2009), support vector regression (Ouyang et al., 2011), and evolutionary algorithms (Alguliev et al., 2013)—to select salient sentences for an extractive summary.”
Text Summarization Techniques: A Brief Survey (2017, methodology): “TFIDF weights are easy and fast to compute and also are good measures for determining the importance of sentences, therefore many existing summarizers [2, 3, 24] have utilized this technique (or some form of it).”
Recent automatic text summarization techniques: a survey (2016, methodology): “Table 7 Text summarization approaches used in the evaluation process Technique Description OCDsum-SaDE (Alguliev et al. 2013) This is an optimization approach for generic summarization of documents.”