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Bio-Inspired Algorithms for Text Summarization: A Review

Bio-Inspired Algorithms for Text Summarization: A Review

Rasmita Rautray, Rakesh Chandra Balabantaray
Copyright: © 2017 |Pages: 22
ISBN13: 9781522523758|ISBN10: 1522523758|EISBN13: 9781522523765
DOI: 10.4018/978-1-5225-2375-8.ch003
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MLA

Rautray, Rasmita, and Rakesh Chandra Balabantaray. "Bio-Inspired Algorithms for Text Summarization: A Review." Bio-Inspired Computing for Information Retrieval Applications, edited by D.P. Acharjya and Anirban Mitra, IGI Global, 2017, pp. 71-92. https://doi.org/10.4018/978-1-5225-2375-8.ch003

APA

Rautray, R. & Balabantaray, R. C. (2017). Bio-Inspired Algorithms for Text Summarization: A Review. In D. Acharjya & A. Mitra (Eds.), Bio-Inspired Computing for Information Retrieval Applications (pp. 71-92). IGI Global. https://doi.org/10.4018/978-1-5225-2375-8.ch003

Chicago

Rautray, Rasmita, and Rakesh Chandra Balabantaray. "Bio-Inspired Algorithms for Text Summarization: A Review." In Bio-Inspired Computing for Information Retrieval Applications, edited by D.P. Acharjya and Anirban Mitra, 71-92. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-2375-8.ch003

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Abstract

In last few decades, Bio-inspired algorithms (BIAs) have gained a significant popularity to handle hard real world and complex optimization problem. The scope and growth of Bio Inspired algorithms explore new application areas and computing opportunities. This paper presents a review with the objective is to bring a better understanding and to motivate the research on BIAs based text summarization. Different techniques have been used for text summarization are genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), harmonic search (HS).

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