Abstract
In this paper, by analyzing the best chaotic sequences generated by sixteen different chaotic maps, a novel chaos optimization algorithm is presented. It can intelligently base on different chaotic maps to select different strategies so as to map the chaotic variables into the optimization variables. For the proposed algorithm, the obtained best values, the run time, and the role of the first and the second stage search by using different chaotic maps are also analyzed and compared. The simulation results implemented on several classic test functions demonstrate that the proposed algorithm has a high performance and an outstanding efficiency.
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Acknowledgments
This research was supported by Guangxi Universities Key Project of Science and Technology Research (No.KY2015ZD099), Guangxi Natural Science Foundation (No.2014GXNSFBA118268,2014GXNSFBA118010), Scientific Research Staring Foundation for the PHD Scholars of Yulin Normal University (No.G2014005), Key Project of Yulin Normal University (No.2014YJZD05), and Open Foundation for Guangxi Colleges and Universities Key Lab of Complex System Optimization and Big Data Processing (No. 2015CSOBDP0301,2015CSOBDP0303).
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Feng, J., Zhang, J., Zhu, X. et al. A novel chaos optimization algorithm. Multimed Tools Appl 76, 17405–17436 (2017). https://doi.org/10.1007/s11042-016-3907-z
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DOI: https://doi.org/10.1007/s11042-016-3907-z