DocumentCode
3336025
Title
Bacterial foraging optimization algorithm: A derivative free technique
Author
Jhankal, Nitin Kumar ; Adhyaru, Dipak
fYear
2011
fDate
8-10 Dec. 2011
Firstpage
1
Lastpage
4
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.
Keywords
genetic algorithms; BFOA; Escherichia coli; bacterial foraging optimization algorithm; derivative free technique; genetic algorithm; social foraging behaviour; Algorithm design and analysis; Animals; Genetic algorithms; Mathematical model; Microorganisms; Optimization; Search problems; About four; alphabetical order; key words or phrases; separated by commas;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering (NUiCONE), 2011 Nirma University International Conference on
Conference_Location
Ahmedabad, Gujarat
Print_ISBN
978-1-4577-2169-4
Type
conf
DOI
10.1109/NUiConE.2011.6153240
Filename
6153240
Link To Document