D. Karaboga, B. Akay. “A Comparative Study of Artificial Bee Colony Algorithm,” Applied Mathematics and Computation, Vol 214, No.1,2009, pp.108–132. doi: 10.1016/j.amc.2009.03.090
has been cited by the following article:
TITLE: Magnetotactic Bacteria Algorithm for Function Optimization
AUTHORS: Hongwei Mo, Lifang Xu
KEYWORDS: Magnetotactic bacteria optimization algorithm; Function optimization; Nature inspired computing
JOURNAL NAME: Journal of Software Engineering and Applications, Vol.5 No.12B, January 18, 2013
ABSTRACT: Magnetotactic bacteria is a kind of polyphyletic group of prokaryotes with the characteristics of magnetotaxis that make them orient and swim along geomagnetic field lines. A magnetotactic bacteria optimization algorithm(MBOA) inspired by the characteristics of magnetotactic bacteria is researched in the paper. Experiment results show that the MBOA is effective in function optimization problems and has good and competitive performance compared with the other classical optimization algorithms.