Abstract
In many expensive or time consuming engineering problems, like antenna design problems, it is unpractical to use the evolutionary algorithms directly. In recent years, Gaussian process has attracted more and more attention and had some successful applications. To further accelerate the speed of antenna design optimization process, a Gaussian process and fuzzy clustering assisted differential evolution algorithm(GPFCDEA) is presented in this paper. Four benchmark functions and two antenna design problems are selected as examples. Experimental results indicate that GPFCDEA performs much better than DE for low dimensions problems. However, for high dimensions problems, the performance of GPFCDEA still needs further research.
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Acknowledgment
This work was supported by the National Natural Science Foundation of China and other foundations(No.s: 61271140, 61203306, 2012001202, 61305086).
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Zhang, J., Zeng, S., Jiang, Y., Li, X. (2016). A Gaussian Process Based Method for Antenna Design Optimization. In: Li, K., Li, J., Liu, Y., Castiglione, A. (eds) Computational Intelligence and Intelligent Systems. ISICA 2015. Communications in Computer and Information Science, vol 575. Springer, Singapore. https://doi.org/10.1007/978-981-10-0356-1_23
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DOI: https://doi.org/10.1007/978-981-10-0356-1_23
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