Chen, T & Li, M 2022, 'The weights can be harmful: pareto search versus weighted search in multi-objective search-based software engineering', ACM Transactions on Software Engineering and Methodology. https://doi.org/10.1145/3514233
Liu, Y, Hu, Y, Zhu, N, Li, K, Zou, J & Li, M 2021, 'A decomposition-based multiobjective evolutionary algorithm with weights updated adaptively', Information Sciences, vol. 572, pp. 343-377. https://doi.org/10.1016/j.ins.2021.03.067
Cai, X, Xiao, Y, Li, M, Hu, H, Ishibuchi, H & Li, X 2021, 'A grid-based inverted generational distance for multi/many-objective optimization', IEEE Transactions on Evolutionary Computation, vol. 25, no. 1, 9080110, pp. 21-34. https://doi.org/10.1109/TEVC.2020.2991040
Cai, X, Xiao, Y, Li, Z, Sun, Q, Xu, H, Li, M & Ishibuchi, H 2021, 'A kernel-based indicator for multi/many-objective optimization', IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/TEVC.2021.3105565
Gu, X & Li, M 2021, 'A multi-granularity locally optimal prototype-based approach for classification', Information Sciences, vol. 569, pp. 157-183. https://doi.org/10.1016/j.ins.2021.04.039
Su, Z, Zhang, G, Yue, F, Zhan, D, Li, M, Li, B & Yao, X 2021, 'Enhanced constraint handling for reliability-constrained multiobjective testing resource allocation', IEEE Transactions on Evolutionary Computation, vol. 25, no. 3, 9340399, pp. 537-551. https://doi.org/10.1109/TEVC.2021.3055538
Wang, Z, Luo, T, Li, M, Zhou, JT, Goh, RSM & Zhen, L 2021, 'Evolutionary multi-objective model compression for deep neural networks', IEEE Computational Intelligence Magazine, vol. 16, no. 3, 9492169, pp. 10-21. https://doi.org/10.1109/MCI.2021.3084393
Li, M 2021, 'Is our archiving reliable? Multiobjective archiving methods on “simple” artificial input sequences', ACM Transactions on Evolutionary Learning and Optimization, vol. 1, no. 3, 9, pp. 1-19. https://doi.org/10.1145/3465335
Xiang, Y, Huang, H, Li, M, Li, S & Yang, X 2021, 'Looking for novelty in search-based software product line testing', IEEE Transactions on Software Engineering. https://doi.org/10.1109/TSE.2021.3057853
Liu, Y, Zhu, N & Li, M 2021, 'Solving many-objective optimization problems by a Pareto-based evolutionary algorithm with preprocessing and a penalty mechanism', IEEE Transactions on Cybernetics, vol. 51, no. 11, pp. 5585-5594. https://doi.org/10.1109/TCYB.2020.2988896
Zhang, G, Su, Z, Li, M, Qi, M, Jiang, J & Yao, X 2020, 'A task-oriented heuristic for repairing infeasible solutions on overlapping coalition structure generation', IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 50, no. 3.
Liu, Y, Zhu, N, Li, K, Li, M, Zheng, J & Li, K 2020, 'An angle dominance criterion for evolutionary many-objective optimization', Information Sciences, vol. 509, pp. 376-399. https://doi.org/10.1016/j.ins.2018.12.078
Su, Z, Zhang, G, Yue, F, He, J, Li, M, Li, B & Yao, X 2020, 'Finding the largest successful coalition under the strict goal preferences of agents', ACM Transactions on Autonomous and Adaptive Systems , vol. 14, no. 4.
Xiang, Y, Huang, H, Zhou, Y, Li, S, Luo, C, Lin, Q, Li, M & Yang, X 2022, Search-based diverse sampling from real-world software product lines. in 2022 IEEE/ACM 43rd International Conference on Software Engineering (ICSE). International Conference on Software Engineering. Proceedings, IEEE, 44th IEEE/ACM International Conference on Software Engineering, Pittsburgh, Pennsylvania, United States, 8/05/22.
Chen, T & Li, M 2021, Multi-objectivizing software configuration tuning. in D Spinellis, G Gousios, M Chechik & M Di Penta (eds), ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. ACM proceedings, Association for Computing Machinery (ACM), pp. 453–465, ESEC/FSE 2021, Athens, Greece, 23/08/21. https://doi.org/10.1145/3468264.3468555
View all publications in research portal