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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 7-8/2014

01.12.2014 | Original Article

A power spectrum optimization algorithm inspired by magnetotactic bacteria

verfasst von: Hongwei Mo, Lili Liu, Lifang Xu

Erschienen in: Neural Computing and Applications | Ausgabe 7-8/2014

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Abstract

Magnetotactic bacteria (MTB) are one kind of bacteria with magnetic particles called magnetosomes in their bodies. These particles often connect together like a chain. The MTB move toward 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 magnetic bacteria algorithm based on power spectrum (PSMBA) for optimization is proposed. The candidate solutions are decided by power spectrum in the algorithm. It mainly includes four steps: power spectrum calculation, bacteria swimming, bacteria rotation and bacteria replacement. The effect of swimming schemes and parameter settings on the performance of PSMBA is studied. And it is compared with GA, PSO and its variants and some other optimization algorithms on 25 benchmark functions including CEC2005. The simulation results show that PSMBA has better performance on most of the problems than most of the compared algorithms.
Vorheriger Artikel Stability-based preference selection in affinity propagation
Nächster Artikel An adaptive backoff algorithm for multi-channel CSMA in wireless sensor networks

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Metadaten
Titel
A power spectrum optimization algorithm inspired by magnetotactic bacteria
verfasst von
Hongwei Mo
Lili Liu
Lifang Xu
Publikationsdatum
01.12.2014
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 7-8/2014
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-014-1672-3

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