Mo, H.W., Liu, L.L., Xu, L.F. and Zhao, Y.Y. (2014) Performance Research on Magnetotactic Bacteria Optimization Algorithm Based on the Best Individual. The 6th International Conference on Bio-inspired Computing (BICTA 2014), Wuhan, 318-322.

has been cited by the following article:

• TITLE: Performance Research on Magnetotactic Bacteria Optimization Algorithm with the Best Individual-Guided Differential Interaction Energy

  AUTHORS: Hongwei Mo, Lili Liu, Jiao Zhao

  KEYWORDS: Magnetotactic Bacteria, Nature Inspired Computing, Differential Interaction Energy, Parameters Settings

  JOURNAL NAME: Journal of Computer and Communications, Vol.3 No.5, May 25, 2015

  ABSTRACT: Magnetotactic bacteria optimization algorithm (MBOA) is a new optimization algorithm inspired by the characteristics of magnetotactic bacteria, which is a kind of polyphyletic group of prokaryotes with the characteristics of magnetotaxis that make them orient and swim along geomagnetic field lines. The original Magnetotactic Bacteria Optimization Algorithm (MBOA) and several new variants of MBOA mimics the interaction energy between magnetosomes chains to obtain moments for solving problems. In this paper, Magnetotactic Bacteria Optimization Algorithm with the Best Individual-guided Differential Interaction Energy (MBOA-BIDE) is proposed. We improved interaction energy calculation by using the best individual-guideddifferential interaction energy formation. We focus on analyzing the performance of different parameters settings. The experiment results show that the proposed algorithm is sensitive to parameters settings on some functions.