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：自动化. 计算机科学与技术
联系方式：电子邮件
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最后更新时间：..
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S. Yang and D. Wang. Solving optimization and scheduling problems with neural network methods. Systems Engineering, 15(Suppl.): 66-71, December 1997 (PDF File).
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S. Yang and D. Wang. Genetic algorithm and adaptive neural network hybrid method for job-shop scheduling problems. Control and Decision, 13(Suppl.): 402-407, July 1998 (PDF File).
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S. Yang and D. Wang. Using constraint satisfaction adaptive neural network and efficient heuristics for job-shop scheduling. Information and Control, 28(2): 121-126, April 1999 (PDF File).
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S. Yang and D. Wang. A neural network and heuristics hybrid strategy for job-shop scheduling problem. Journal of Systems Engineering, 14(2): 140-144, June 1999 (PDF File).
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S. Yang and D. Wang. Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling. IEEE Transactions on Neural Networks, 11(2): 474-486, March 2000. IEEE Press (DOI: 10.1109/72.839016 and PDF File).
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S. Yang and D. Wang. A new adaptive neural network and heuristics hybrid approach for job-shop scheduling. Computers and Operations Research, 28(10): 955-971, September 2001. Elsevier Science Ltd (DOI: 10.1016/S0305-0548(00)00018-6 and PDF File).
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S. Yang. Adaptive group mutation for tackling deception in genetic search. WSEAS Transactions on Systems, 3(1): 107-112, January 2004 (PDF File).
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S. Yang and X. Yao. Experimental study on population-based incremental learning algorithms for dynamic optimization problems. Soft Computing, 9(11): 815-834, November 2005. Springer (DOI: 10.1007/s00500-004-0422-3 and PDF File).
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H. Wang, D. Wang, and S. Yang. Evolutionary algorithms in dynamic environments. Control and Decision, 22(2): 127-131+137, February 2007. (URL: http://www.kzyjc.net:8080/CN/Y2007/V22/I2/127)
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S. Yang and R. Tinos. A hybrid immigrants scheme for genetic algorithms in dynamic environments. International Journal of Automation and Computing, 4(3): 243-254, July 2007. Springer (DOI: 10.1007/s11633-007-0243-9, PDF File, and Source Code in GNU C++).
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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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