中国地质大学主页平台管理系统 Yang Shengxiang--Home-- 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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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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Pre One: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).

Next One: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).