S. Yang, S. Jiang, and Y. Jiang. Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes. Soft Computing, 21(16): 4677-4691, August 2017. Springer (DOI: 10.1007/s00500-016-2076-3).
Release time:2018-09-23 Hits:
Pre One:M. Mavrovouniotis, F. M. Muller, and S. Yang. Ant colony optimization with local search for dynamic travelling salesman problems. IEEE Transactions on Cybernetics, 47(7): 1743-1756, July 2017. IEEE Press (DOI: 10.1109/TCYB.2016.2556742 and Source Code in C++).
Next One:G. Ruan, G. Yu, J. Zheng, J. Zou, and S. Yang. The effect of diversity maintenance on prediction in dynamic multi-objective optimization. Applied Soft Computing, 58: 631-647, September 2017. Elsevier (DOI: 10.1016/j.asoc.2017.05.008).
