Title :
Bacterial foraging optimization algorithm: A derivative free technique
Author :
Jhankal, Nitin Kumar ; Adhyaru, Dipak
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;
Conference_Titel :
Engineering (NUiCONE), 2011 Nirma University International Conference on
Conference_Location :
Ahmedabad, Gujarat
Print_ISBN :
978-1-4577-2169-4
DOI :
10.1109/NUiConE.2011.6153240
