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Yang Shengxiang

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Doctoral Degree in Education

东北大学

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H. Wang, I.-K. Moon, S. Yang, and D. Wang. A memetic particle swarm optimization algorithm for multimodal optimization problems. Information Sciences, 197: 38-52, August 2012. Elsevier (DOI: 10.1016/j.ins.2012.02.016).
2018-09-23
C. Li and S. Yang. A general framework of multi-population methods with clustering in undetectable dynamic environments. IEEE Transactions on Evolutionary Computation, 16(4): 556-577, August 2012. IEEE Press (DOI: 10.1109/TEVC.2011.2169966, PDF File, and Source Code in C++ with details on EAlib available here).
2018-09-23
H. Cheng, S. Yang, and X. Wang. Immigrants enhanced multi-population genetic algorithms for dynamic shortest path routing problems in mobile ad hoc networks. Applied Artificial Intelligence, 26(7): 673-695, August 2012. Taylor & Francis (DOI: 10.1080/08839514.2012.701449).
2018-09-23
T. T. Nguyen, S. Yang, and J. Branke. Evolutionary dynamic optimization: A survey of the state of the art. Swarm and Evolutionary Computation, 6: 1-24, October 2012. Elsevier (Invited survey paper, DOI: 10.1016/j.swevo.2012.05.001).
2018-09-23
H. Cheng, S. Yang, and J. Cao. Dynamic genetic algorithms for the dynamic load balanced clustering problem in mobile ad hoc networks. Expert Systems with Applications, 40(4): 1381-1392, March 2013. Elsevier (DOI: 10.1016/j.eswa.2012.08.050).
2018-09-23
W. Kong, T. Chai, S. Yang, and J. Ding. A hybrid evolutionary multiobjective optimization strategy for the dynamic power supply problem in magnesia grain manufacturing. Applied Soft Computing, 13(5): 2960-2969, March 2013. Elsevier (DOI: 10.1016/j.asoc.2012.02.025).
2018-09-23
I. Korejo, S. Yang, K. Brohi, and Z.U.A. Khuhro. Multi-Population Methods with Adaptive Mutation for Multi-Modal Optimization Problems. International Journal on Soft Computing, Artificial Intelligence and Application, 2(2): 1-19, April 2013. Academy and Industry Research Collaboration Center (AIRCC) (DOI: 10.5121/ijscai.2013.2201).
2018-09-23
M. Huang, Y. Cui, S. Yang, and X. Wang. Fourth party logistics routing problem with fuzzy duration time. International Journal of Production Economics, 145(1): 107-116, September 2013. Elsevier (DOI: 10.1016/j.ijpe.2013.03.007).
2018-09-23
Y. Cui, M. Huang, S. Yang, L. H. Lee, and X. Wang. Fourth party logistics routing problem model with fuzzy duration time and cost discount. Knowledge-Based Systems, 50: 14-24, September, 2013. Elsevier (DOI: 10.1016/j.knosys.2013.04.020).
2018-09-23
S. Yang, Y. Jiang, and T. T. Nguyen. Metaheuristics for dynamic combinatorial optimization problems. IMA Journal of Management Mathematics, 24(4): 451-480, October 2013. Oxford University Press (Invited survey paper, DOI: 10.1093/imaman/DPS021).
2018-09-23

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