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

Hongwei Mo; Lili Liu; Jiao Zhao

doi:10.4236/jcc.2015.35016

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Journal of Computer and Communications > Vol.3 No.5, May 2015

Performance Research on Magnetotactic Bacteria Optimization Algorithm with the Best Individual-Guided Differential Interaction Energy ()

Hongwei Mo, Lili Liu, Jiao Zhao

Automation College, Harbin Engineering University, Harbin, China.

DOI: 10.4236/jcc.2015.35016 PDF HTML XML 4,304 Downloads 4,721 Views Citations

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-guided differential 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.

Keywords

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

Share and Cite:

Mo, H. , Liu, L. and Zhao, J. (2015) Performance Research on Magnetotactic Bacteria Optimization Algorithm with the Best Individual-Guided Differential Interaction Energy. Journal of Computer and Communications, 3, 127-136. doi: 10.4236/jcc.2015.35016.

Conflicts of Interest

The authors declare no conflicts of interest.

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