Abstract
An improved magnetotactic bacteria optimization algorithm (MBOA) is researched based on the best individual and the performance effect of parameter settings is studied in order to show which setting is more suitable for solving optimization problems. It is tested on four standard function problems and compared with DE, ABC. Experiment results show that MBOAs with different parameter settings are effective for solving most of the benchmark functions. And they do show different performance on a few benchmark functions.
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Mo, H., Liu, L., Xu, L., Zhao, Y. (2014). Research on Magnetotactic Bacteria Optimization Algorithm Based on the Best Individual. In: Pan, L., Păun, G., Pérez-Jiménez, M.J., Song, T. (eds) Bio-Inspired Computing - Theories and Applications. Communications in Computer and Information Science, vol 472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45049-9_52
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DOI: https://doi.org/10.1007/978-3-662-45049-9_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45048-2
Online ISBN: 978-3-662-45049-9
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