Abstract
In this paper, a Fuzzy Chemical Reaction Algorithm (FCRA) is proposed. In order to overcome the problems of the basic Chemical Reaction Algorithm (CRA), we improve the CRA by proposing a FCRA that takes into account the diversity of the population. Comparative experimental results with benchmark functions show that our proposed method performs much better than the original algorithm in problems with many dimensions.
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Acknowledgements
The authors would like to thank CONACYT and Tijuana Institute of Technology for the facilities and resources granted for the development of this research.
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de la O, D., Castillo, O., Astudillo, L., Soria, J. (2015). Fuzzy Chemical Reaction Algorithm. In: Sidorov, G., Galicia-Haro, S. (eds) Advances in Artificial Intelligence and Soft Computing. MICAI 2015. Lecture Notes in Computer Science(), vol 9413. Springer, Cham. https://doi.org/10.1007/978-3-319-27060-9_37
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DOI: https://doi.org/10.1007/978-3-319-27060-9_37
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