Recent publications
Article
Xiang, Y, Huang, H, Li, S, Li, M, Luo, C & Yang, X 2024, 'Automated test suite generation for software product lines based on quality-diversity optimisation', ACM Transactions on Software Engineering and Methodology, vol. 33, no. 2, 46, pp. 1–52. https://doi.org/10.1145/3628158
Gu, Y, Bian, C, Li, M & Qian, C 2024, 'Subset selection for evolutionary multi-objective optimization', IEEE Transactions on Evolutionary Computation, vol. 28, no. 2, pp. 403 - 417. https://doi.org/10.1109/TEVC.2023.3261134
Chen, T & Li, M 2023, 'Do Performance Aspirations Matter for Guiding Software Configuration Tuning? An Empirical Investigation under Dual Performance Objectives', ACM Transactions on Software Engineering and Methodology, vol. 32, no. 3, 68. https://doi.org/10.1145/3571853
Fang, Y, Liu, F, Li, M & Cui, H 2023, 'Domain generalization-based dynamic multiobjective optimization: A case study on disassembly line balancing', IEEE Transactions on Evolutionary Computation, vol. 27, no. 6, pp. 1851 - 1865. https://doi.org/10.1109/TEVC.2022.3233642
Zhou, J, Zhang, Y, Zheng, J & Li, M 2023, 'Domination-Based Selection and Shift-Based Density Estimation for Constrained Multiobjective Optimization', IEEE Transactions on Evolutionary Computation, vol. 27, no. 4, pp. 993-1004. https://doi.org/10.1109/TEVC.2022.3190401
Gu, X, Li, M, Shen, L, Tang, G, Ni, Q, Peng, T & Shen, Q 2023, 'Multiobjective Evolutionary Optimization for Prototype-Based Fuzzy Classifiers', IEEE Transactions on Fuzzy Systems, vol. 31, no. 5, pp. 1703-1715. https://doi.org/10.1109/TFUZZ.2022.3214241
Zhang, G, Li, L, Su, Z, Shao, Z, Li, M, Li, B & Yao, X 2023, 'New Reliability-Driven Bounds for Architecture-Based Multi-Objective Testing Resource Allocation', IEEE Transactions on Software Engineering, vol. 49, no. 4, pp. 2513-2529. https://doi.org/10.1109/TSE.2022.3223875
Su, Z, Li, M, Zhang, G, Wu, Q, Li, M, Zhang, W & Yao, X 2023, 'Robust Audio Copy-Move Forgery Detection Using Constant Q Spectral Sketches and GA-SVM', IEEE Transactions on Dependable and Secure Computing, vol. 20, no. 5, pp. 4016-4031. https://doi.org/10.1109/TDSC.2022.3215280
Chen, T & Li, M 2023, 'The weights can be harmful: pareto search versus weighted search in multi-objective search-based software engineering', ACM Transactions on Software Engineering and Methodology, vol. 32, no. 1, 5, pp. 1–40. https://doi.org/10.1145/3514233
Cai, X, Xiao, Y, Li, Z, Sun, Q, Xu, H, Li, M & Ishibuchi, H 2022, 'A kernel-based indicator for multi/many-objective optimization', IEEE Transactions on Evolutionary Computation, vol. 26, no. 4, 9515483, pp. 602-615. https://doi.org/10.1109/TEVC.2021.3105565
Xue, Y, Li, M & Liu, X 2022, 'An effective and efficient evolutionary algorithm for many-objective optimization', Information Sciences, vol. 617, pp. 211-233. https://doi.org/10.1016/j.ins.2022.10.077
Conference contribution
Lyu, H, Herring, D, Wang, L, Ninic, J, Andrews, J, Li, M, Kocvara, M, Spill, F & Wang, S 2024, Multi-Objective Optimization for Flexible Building Space Usage. in 2024 IEEE Conference on Artificial Intelligence (CAI). Artificial Intelligence (CAI), IEEE Conference on, IEEE, 2024 IEEE Conference on Artificial Intelligence , Singapore, 25/07/24.
Li, M, Han, X & Chu, X 2023, MOEAs Are Stuck in a Different Area at a Time. in GECCO '23: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 303-311, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23. https://doi.org/10.1145/3583131.3590447
Liang, Z, Li, M & Lehre, PK 2023, Non-Elitist Evolutionary Multi-Objective Optimisation: Proof-of-Principle Results. in GECCO '23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO: Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), pp. 383-386, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23. https://doi.org/10.1145/3583133.3590646
Bian, C, Zhou, Y, Li, M & Qian, C 2023, Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. in E Elkind (ed.), Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, pp. 5513-5521, 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023, Macao, China, 19/08/23. https://doi.org/10.24963/ijcai.2023/612
View all publications in research portal