IR @ Nirma University
Keeping in tune the global developments we are creating an institutional repository using DSpace Software (Digital Library Software). We are archiving institutional knowledge like, faculty papers, theses, and dissertations in PDF format at DSpace. Students can access this digital information anywhere in the campus.
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http://10.1.7.192:80/jspui/handle/123456789/11641| Title: | Bacterial Foraging Optimization Algorithm: A Derivative Free Technique |
| Authors: | Jhankal, Nitin Kuma Adhyaru, D. M. |
| Keywords: | BFOA Genetic Algorithm (GA) IC Faculty Paper Faculty Paper ITFIC002 10MICC08 NUiCONE NUiCONE-2011 |
| Issue Date: | 8-Dec-2011 |
| Publisher: | Institute of Technology |
| Citation: | 2nd International Conference on Current Trends in Technology, NUiCONE-2011, Institute of Technology, Nirma University, December 8-10, 2011 |
| Series/Report no.: | ITFIC002-11 |
| Abstract: | Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for optimization and control. BFOA is inspired by the social foraging behaviour of Escherichia coli. BFOA has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several application domains. In present paper, a detailed explanation of this algorithm is given. Comparative analysis of BFOA with Genetic Algorithm (GA) is presented. |
| URI: | http://10.1.7.181:1900/jspui/123456789/3081 http://10.1.7.192:80/jspui/handle/123456789/11641 |
| ISBN: | 9788192304908 |
| Appears in Collections: | Faculty Papers, E&I |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ITFIC002-11.pdf | ITFIC002-11 | 744.01 kB | Adobe PDF |  View/Open |
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