A new magnetotactic bacteria optimization algorithm based on moment migration

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. Its distinct biology characteristics are useful to design new optimization technology. In this paper, a new bionic optimization algorithm named Magnetotactic Bacteria Moment Migration Algorithm(MBMMA) is proposed. In the proposed algorithm, the moments of a chain of magnetosomes are considered as solutions. The moments of relative good solutions can migrate each other to enhance the diversity of the MBMMA. It is compared with Genetic Algorithm, Differential Evolution and CLPSO on standard functions problems. The experiment results show that the MBMMA is effective in solving optimization problems. It shows good and competitive performance compared with the compared algorithms.