This article presents a comprehensively state-of-the-art investigation of the engineering
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …

Text summarization is a process of extracting salient information from a source text and
presenting that information to the user in a condensed form while preserving its main …

With the tremendous growth in the number of electronic documents, it is becoming
challenging to manage the volume of information. Much research has focused on …

Automatic text summarization methods are increasingly needed nowadays. Extractive multi-
document summarization approaches aim to obtain the main content of a document …

Text summarization is a process of generating a brief version of documents by preserving
the fundamental information of documents as much as possible. Although most of the text …

The massive quantity of data available today in the Internet has reached such a huge
volume that it has become humanly unfeasible to efficiently sieve useful information from it …

The increasing usage of the Internet and social networks has produced a significant amount
of online textual data. These online textual data led to information overload and redundancy …

Today, due to a vast amount of textual data, automated extractive text summarization is one
of the most common and practical techniques for organizing information. Extractive …

In today's scenario the rate of growth of information is expanding exponentially in the World
Wide Web. As a result, extracting valid and useful information from a huge data has become …

Abstract Today, World Wide Web has brought us enormous quantity of on-line information.
As a result, extracting relevant information from massive data has become a challenging …