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.