陈妍  

在职信息:在岗

所在单位:工程学院

学科:自动化. 计算机科学与技术

联系方式:电子邮件

   

论文成果

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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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发布时间:2018-09-23

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上一条: 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).

下一条: 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).