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Updated: Jun 25, 2025

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Advancing automatic text summarization: Unleashing enhanced binary multi-objective grey wolf optimization with

Muhammad Ayyaz Sheikh1, Maryam Bashir1, Mehtab Kiran Sudddle1

  • 1FAST School of Computing, National University of Computer and Emerging Sciences, Lahore, Pakistan.

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Automatic Text Summarization (ATS) systems create concise summaries from large texts. An enhanced Binary Multi-Objective Grey Wolf Optimizer (BMOGWO) with mutation significantly improves ATS performance over existing methods.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Natural Language Processing

Background:

  • Automatic Text Summarization (ATS) is crucial for handling vast amounts of data, as manual summarization is time-consuming and expensive.
  • Existing ATS systems face challenges in content coverage, summary length, redundancy, and coherence.
  • Natural Language Processing (NLP) techniques are employed, but traditional methods struggle with multi-faceted optimization.

Purpose of the Study:

  • To enhance the performance of Automatic Text Summarization (ATS).
  • To introduce an improved Binary Multi-Objective Grey Wolf Optimizer (BMOGWO) with mutation for ATS.

Main Methods:

  • Utilizing an enhanced Binary Multi-Objective Grey Wolf Optimizer (BMOGWO) incorporating mutation.
  • Evaluating the proposed algorithm's performance against state-of-the-art methods.
  • Testing on the DUC2002 dataset for comprehensive assessment.

Main Results:

  • The enhanced BMOGWO algorithm demonstrates superior performance in ATS.
  • Significant improvements were observed compared to existing state-of-the-art algorithms.
  • The proposed method effectively addresses multiple summarization challenges simultaneously.

Conclusions:

  • The enhanced BMOGWO algorithm represents a significant advancement in Automatic Text Summarization.
  • This approach offers a more effective solution for generating high-quality, concise summaries.
  • Further research can explore applications of this enhanced algorithm in various NLP tasks.