教授
博士生导师
硕士生导师
主要任职：自动化学院讲座教授
性别：男
毕业院校：东北大学
学历：博士研究生毕业
学位：博士学位
所在单位：自动化学院
学科：计算机科学与技术 自动化
联系方式：电子邮件
访问量：
最后更新时间：..
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[61] S. Jiang and S. Yang. A steady-state and generational evolutionary algorithm for dynamic multi-objective optimization. IEEE Transactions on Evolutionary Computation, 21(1): 65-82, February 2017. IEEE Press (DOI: 10.1109/TEVC.2016.2574621 and Source Code in C).
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[62] R. Cheng, M. Li, Y. Tian, X. Zhang, S. Yang, Y. Jin, and X. Yao. A benchmark test suite for evolutionary many-objective optimization. Complex and Intelligent Systems, 3(1): 67-81, March 2017. Springer (DOI: 10.1007/s40747-017-0039-7 and Source Code in Matlab).
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[63] M. Mavrovouniotis, C. Li, and S. Yang. A survey of swarm intelligence for dynamic optimization: Algorithms and applications. Swarm and Evolutionary Computation, 33: 1-17, April 2017. Elsevier (DOI: 10.1016/j.swevo.2016.12.005).
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[64] M. T. Younis and S. Yang. A genetic algorithm for independent job scheduling in grid computing. MENDEL - Soft Computing Journal, 23(1): 65-72, June 2017. Brno University of Technology, Brno, Czech Republic.
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[65] S. Jiang and S. Yang. A strength pareto evolutionary algorithm based on reference direction for multi-objective and many-objective optimization. IEEE Transactions on Evolutionary Computation, 21(3): 329-346, June 2017. IEEE Press (DOI: 10.1109/TEVC.2016.2592479 and Source Code in C).
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[66] M. Mavrovouniotis, F. M. Muller, and S. Yang. Ant colony optimization with local search for dynamic travelling salesman problems. IEEE Transactions on Cybernetics, 47(7): 1743-1756, July 2017. IEEE Press (DOI: 10.1109/TCYB.2016.2556742 and Source Code in C++).
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[67] S. Yang, S. Jiang, and Y. Jiang. Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes. Soft Computing, 21(16): 4677-4691, August 2017. Springer (DOI: 10.1007/s00500-016-2076-3).
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[68] G. Ruan, G. Yu, J. Zheng, J. Zou, and S. Yang. The effect of diversity maintenance on prediction in dynamic multi-objective optimization. Applied Soft Computing, 58: 631-647, September 2017. Elsevier (DOI: 10.1016/j.asoc.2017.05.008).
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[69] X. Wang, J. Zhang, M. Huang, and S. Yang. A green intelligent routing algorithm supporting flexible QoS for many-to-many multicast. Computer Networks, 126: 229-245, October 2017. Elsevier (DOI: 10.1016/j.comnet.2017.07.010).
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[70] Y. Wang, B. Xu, G. Sun, and S. Yang. A two-phase differential evolution for uniform designs in constrained experimental domains. IEEE Transactions on Evolutionary Computation, 21(5): 665-680, October 2017. IEEE Press (DOI: 10.1109/TEVC.2017.2669098 and Source Code in Matlab).
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[71] W. Gong, Y. Wang, Z. Cai, and S. Yang. A weighted biobjective transformation technique for locating multiple optimal solutions of nonlinear equation systems. IEEE Transactions on Evolutionary Computation, 21(5): 697-713, October 2017. IEEE Press (DOI: 10.1109/TEVC.2017.2670779 and Source Code in C++).
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[72] 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++).
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[73] 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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[74] 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).
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[75] M. Li, C. Grosan, S. Yang, X. Liu, and X. Yao. Multi-line distance minimization: A visualized many-objective test problem suite. IEEE Transactions on Evolutionary Computation, 22(1): 61-78, February 2018. IEEE Press (DOI: 10.1109/TEVC.2017.2655451 and Source Code in C).
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[76] Y. Wang, H. Liu, H. Long, Z. Zhang, and S. Yang. Differential evolution with a new encoding mechanism for optimizing wind farm layout. IEEE Transactions on Industrial Informatics, 14(3): 1040-1054, March 2018. IEEE Press (DOI: 10.1109/TII.2017.2743761).
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[77] S. Jiang, S. Yang, Y. Wang, and X. Liu. Scalarizing functions in decomposition-based multiobjective evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 22(2): 296-313, April 2018. IEEE Press (DOI: 10.1109/TEVC.2017.2707980).
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[78] J. Zou, L. Fu, S. Yang, J. Zheng, G. Yu, and Y. Hu. A many-objective evolutionary algorithm based on rotated grid. Applied Soft Computing, 67: 596-609, June 2018. Elsevier (DOI: 10.1016/j.asoc.2018.02.031).
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[79] K. Wang, X. Li, C. Jia, S. Yang, M. Li, and Y. Li. Multiobjective optimization of the production process for ground granulated blast furnace slags. Soft Computing, published online first: 04 August 2017. Springer (DOI: 10.1007/s00500-017-2761-x).
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[80] Q. Li, J. Zou, and S. Yang, J. Zheng, and G. Ruan. A predictive strategy based on special points for evolutionary dynamic multi-objective optimization. Soft Computing, published online first: 27 January 2018. Springer (DOI: 10.1007/s00500-018-3033-0).
- 中国地质大学（武汉）校址：湖北省武汉市鲁磨路388号
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