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Reseach Article

A Review of Bacterial Foraging Optimization and Its Applications

Published on May 2012 by Vipul Sharma, S. S. Pattnaik, Tanuj Garg
National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
Foundation of Computer Science USA
NCFAAIIA - Number 1
May 2012
Authors: Vipul Sharma, S. S. Pattnaik, Tanuj Garg
591b7461-46d6-47c6-8fec-82202153d22e

Vipul Sharma, S. S. Pattnaik, Tanuj Garg . A Review of Bacterial Foraging Optimization and Its Applications. National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012. NCFAAIIA, 1 (May 2012), 9-12.

@article{
author = { Vipul Sharma, S. S. Pattnaik, Tanuj Garg },
title = { A Review of Bacterial Foraging Optimization and Its Applications },
journal = { National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012 },
issue_date = { May 2012 },
volume = { NCFAAIIA },
number = { 1 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 9-12 },
numpages = 4,
url = { /proceedings/ncfaaiia/number1/6724-1003/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
%A Vipul Sharma
%A S. S. Pattnaik
%A Tanuj Garg
%T A Review of Bacterial Foraging Optimization and Its Applications
%J National Conference on Future Aspects of Artificial intelligence in Industrial Automation 2012
%@ 0975-8887
%V NCFAAIIA
%N 1
%P 9-12
%D 2012
%I International Journal of Computer Applications
Abstract

Recently, germ intelligence has grabbed prime focus of research fraternity working on optimization and many such powerful algorithms have been reported till date. Of this, Bacterial foraging optimization algorithm (BFOA) has attracted a lot of attention as a high performance optimizer because of its faster convergence and global search approach. Since its inception in 2001, many variants of BFOA have come up leading to even faster convergence with higher accuracy. This paper presents an application based review of such variants and will be useful for new researchers exploring its use in their research problems.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Optimization Cad Germ Intelligence Bfoa.