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V. Tereshko. “Reac-tion–diffusion Model of A Honeybee Colony’s Foraging Behaviour,” in Parallel Problem Solving from Nature VI, Lecture Notes in Computer Science, Vol. 1917, Sprin-ger–Verlag, Berlin, 2000,pp. 807–816. doi:10.1007/3-540-45356-3_79

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.