Abstract
Magnetotactic Bacteria Moment Migration Algorithm (MBMMA) is a new bionic optimization algorithm. It is developed based on orginal MBOA, which is a new bio-inspired optimization algorithm based on a kind of polyphyletic group of prokaryotes with the characteristics of magnetotaxis that make them orient and swim along geomagnetic field lines. In the MBMMA, the moments of relative good solutions can migrate each other to enhance the diversity of the MBMMA. But it is easy to trap in local optimal for some problems. In this paper, the population is divided into two sub ones and moments can migrate between them. A moment differential mechanism is combined with the migration. It is compared with Differential Evolution and CLPSO on standard functions problems. The experiment results show that the improved MBMMA is much more effective than the MBMMA and the other compared algorithms.
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Mo, H., Ma, J., Zhao, Y. (2015). An Improved Magnetotactic Bacteria Moment Migration Optimization Algorithm. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9120. Springer, Cham. https://doi.org/10.1007/978-3-319-19369-4_61
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DOI: https://doi.org/10.1007/978-3-319-19369-4_61
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