中国地质大学主页平台管理系统 Yang Shengxiang--Home-- J. Zou, Q. Li, S. Yang, H. Bai, and J. Zheng. A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization. Applied Soft Computing, 61: 806-818, December 2017. Elsevier (DOI: 10.1016/j.asoc.2017.08.004).

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J. Zou, Q. Li, S. Yang, H. Bai, and J. Zheng. A prediction strategy based on center points and knee points for evolutionary dynamic multi-objective optimization. Applied Soft Computing, 61: 806-818, December 2017. Elsevier (DOI: 10.1016/j.asoc.2017.08.004).

Release time:2018-09-23 Hits:

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Pre One:J. Eaton, S. Yang, and M. Gongora. Ant colony optimization for simulated dynamic multi-objective railway junction rescheduling. IEEE Transactions on Intelligent Transportation Systems, 18(11): 2980-2992, November 2017. IEEE Press (DOI: 10.1109/TITS.2017.2665042, Algorithm Source Code in C++, and Stenson Junction Simulator Source Code in C++).

Next One:X. Zhang and S. Yang. Forecasting the cost of municipal engineering based on PCA and NARX neural network. Control Engineering of China, 24(12): 2485-2490, December 2017. (URL: http://www.kzgc.com.cn/CN/Y2017/V24/I12/2485).