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
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最后更新时间：..
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[41] M. Mavrovouniotis and S. Yang. Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors. Applied Soft Computing, 13(10): 4023-4037, October 2013. Elsevier (DOI: 10.1016/j.asoc.2013.05.022 and Source Code in C++).
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[42] S. Yang, M. Li, X. Liu, and J. Zheng. A grid-based evolutionary algorithm for many-objective optimization. IEEE Transactions on Evolutionary Computation, 17(5): 721-736, October 2013. IEEE Press (DOI: 10.1109/TEVC.2012.2227145 and Source Code in C).
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[43] M. Li, S. Yang, J. Zheng, and X. Liu. ETEA: A Euclidean minimum spanning tree-based evolutionary algorithm for multiobjective optimization. Evolutionary Computation, 22(2): 189-230, Summer 2014. The MIT Press (DOI: 10.1162/EVCO_a_00106 and Source Code in C).
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[44] W. Kong, T. Chai, J. Ding, and S. Yang. Multifurnace optimization in electric smelting plants by load scheduling and control. IEEE Transactions on Automation Science and Engineering, 11(3): 850-862, July 2014. IEEE Press (DOI: 10.1109/TASE.2014.2309348).
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[45] M. Li, S. Yang, K. Li, and X. Liu. Evolutionary algorithms with segment-based search for multiobjective optimization problems. IEEE Transactions on Cybernetics, 44(8): 1295-1313, August 2014. IEEE Press (DOI: 10.1109/TCYB.2013.2282503).
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[46] R. Tinos and S. Yang. Analysis of fitness landscape modifications in evolutionary dynamic optimization. Information Sciences, 282: 214-236, October 2014. Elsevier (DOI: 10.1016/j.ins.2014.05.053 and Source Code in C++ for the implemented DOP benchmark generator).
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[47] C. Li, S. Yang, and M. Yang. An adaptive multi-swarm optimizer for dynamic optimization problems. Evolutionary Computation, 22(4): 559-594, Winter 2014. The MIT Press (DOI: 10.1162/EVCO_a_00117).
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[48] M. Li, S. Yang, and X. Liu. Diversity comparison of Pareto front approximations in many-objective optimization. IEEE Transactions on Cybernetics, 44(12): 2568-2584, December 2014. IEEE Press (DOI: 10.1109/TCYB.2014.2310651 and Source Code in C).
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[49] C. Li, T. T. Nguyen, M. Yang, S. Yang, and S. Zeng. Multi-population methods in unconstrained continuous dynamic environments: the challenges. Information Sciences, 296: 95-118, March 2015. Elsevier (DOI: 10.1016/j.ins.2014.10.062).
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[50] M. Mavrovouniotis and S. Yang. Training neural networks with ant colony optimization algorithms for pattern classification. Soft Computing, 19(6): 1511-1522, June, 2015. Springer (DOI: 10.1007/s00500-014-1334-5).
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[51] M. Li, S. Yang, and X. Liu. Bi-goal evolution for many-objective optimization problems. Artificial Intelligence, 228: 45-65, November, 2015. Elsevier (DOI: 10.1016/j.artint.2015.06.007).
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[52] A. Akutekwe, H. Seker, and S. Yang. In Silico discovery of significant pathways in colorectal cancer metastasis using a two-stage optimization approach. IET Systems Biology, 9(6): 294-302, December 2015. The Institution of Engineering and Technology (IET) (DOI: 10.1049/iet-syb.2015.0031).
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[53] W. Fang, S. Yang, and X. Yao. A survey on problem models and solution approaches to rescheduling in railway networks. IEEE Transactions on Intelligent Transportation Systems, 16(6): 2997-3016, December 2015. IEEE Press (DOI: 10.1109/TITS.2015.2446985).
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[54] S. Jiang and S. Yang. An improved multi-objective optimization evolutionary algorithm based on decomposition for complex Pareto fronts. IEEE Transactions on Cybernetics, 46(2): 421-437, February 2016. IEEE Press (DOI: 10.1109/TCYB.2015.2403131 and Source Code in C).
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[55] J. Eaton, S. Yang, and M. Mavrovouniotis. Ant colony optimization with immigrants schemes for the dynamic railway junction rescheduling problem with multiple delays. Soft Computing, 20(8): 2951-2966, August 2016. Springer (DOI: 10.1007/s00500-015-1924-x).
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[56] C. Li, T. T. Nguyen, M. Yang, M. Mavrovouniotis, and S. Yang. An adaptive multi-population framework for locating and tracking multiple optima. IEEE Transactions on Evolutionary Computation, 20(4): 590-605, August 2016. IEEE Press (DOI: 10.1109/TEVC.2015.2504383).
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[57] Y. Zhang, M. Peng, and S. Yang. A clique-based online algorithm for constructing optical orthogonal codes. Applied Soft Computing, 47: 21-32, October 2016. Elsevier (DOI: 10.1016/j.asoc.2016.05.024).
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[58] M. Li, S. Yang, and X. Liu. Pareto or non-pareto: Bi-criterion evolution in multi-objective optimization. IEEE Transactions on Evolutionary Computation, 20(5): 645-665, October 2016. IEEE Press (DOI: 10.1109/TEVC.2015.2504730 and Source Code in C).
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[59] Z. Li, J. Guo, and S. Yang. Improving the JADE algorithm by clustering successful parameters. International Journal of Wireless and Mobile Computing, 11(3): 190-197, December 2016. Inderscience Publishers Ltd (DOI: 10.1504/IJWMC.2016.081159).
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[60] S. Jiang and S. Yang. Evolutionary dynamic multi-objective optimization: benchmarks and algorithm comparisons. IEEE Transactions on Cybernetics, 47(1): 198-211, January 2017. IEEE Press (DOI: 10.1109/TCYB.2015.2510698 and Source Code in C).
- 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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