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A Magnetotactic Bacteria Algorithm Based on Power Spectrum for Optimization

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8794))

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Abstract

Magnetotactic bacteria is one kind of bacteria with magnetic particles called magnetosomes in its body. The magnetotactic bacteria move towards the ideal living conditions under the interaction between magnetic field produced by the magnetic particles chain and that of the earth. In the paper, a new magnetotactic bacteria algorithm based on power spectrum (PSMBA) for optimization is proposed. The candidate solutions are decided by power spectrum in the algorithm. Its performance is tested on 8 standard functions problems and compared with the other two popular optimization algorithms. Experimental results show that the PSMBA is effective in optimization problems and has good and competitive performance.

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Mo, H., Liu, L., Geng, M. (2014). A Magnetotactic Bacteria Algorithm Based on Power Spectrum for Optimization. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8794. Springer, Cham. https://doi.org/10.1007/978-3-319-11857-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-11857-4_13

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11856-7

  • Online ISBN: 978-3-319-11857-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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