Recent publications
Article
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
Hierons, RM, Li, M, Liu, X, Parejo, JA, Segura, S & Yao, X 2020, 'Many-objective test suite generation for software product lines', ACM Transactions on Software Engineering and Methodology, vol. 29, no. 1, 2. https://doi.org/10.1145/3361146
Li, M & Yao, X 2020, 'What weights work for you? Adapting weights for any pareto front shape in decomposition-based evolutionary multiobjective optimisation', Evolutionary Computation, vol. 28, no. 2, pp. 227-253. https://doi.org/10.1162/evco_a_00269
Fang, Y, Ming, H, Li, M, Liu, Q & Pham, DT 2019, 'Multi-objective evolutionary simulated annealing optimisation for mixed-model multi-robotic disassembly line balancing with interval processing time', International Journal of Production Research. https://doi.org/10.1080/00207543.2019.1602290
Li, M & Yao, X 2019, 'Quality evaluation of solution sets in multiobjective optimisation: a survey', ACM Computing Surveys, vol. 52, no. 2, 26. https://doi.org/10.1145/3300148
Cheng, R, Li, M, Li, K & Yao, X 2018, 'Evolutionary Multiobjective Optimization Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection', IEEE Transactions on Evolutionary Computation, vol. 22, no. 5, pp. 692 - 706. https://doi.org/10.1109/TEVC.2017.2744328
Fang, Y, Liu, Q, Li, M, Laili, Y & Pham, DT 2018, 'Evolutionary many-objective optimization for mixed-model disassembly line balancing with multi-robotic workstations', European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2018.12.035
Li, M, Grosan, C, Yang, S, Liu, X & Yao, X 2018, 'Multi-line distance minimization: a visualized many-objective test problem suite', IEEE Transactions on Evolutionary Computation, vol. 22, no. 1, pp. 61-78. https://doi.org/10.1109/TEVC.2017.2655451
Zhang, G, Su, Z, Li, M, Qi, M, Jiang, J & Yao, X 2017, 'A task-oriented heuristic for repairing infeasible solutions to overlapping coalition structure generation', IEEE Transactions on Systems, Man and Cybernetics: Systems, pp. 1-17. https://doi.org/10.1109/TSMC.2017.2712624
Yu, G, Shen, R, Zheng, J, Li, M, Zou, J & Liu, Y 2017, 'Binary search based boundary elimination selection in many-objective evolutionary optimization', Applied Soft Computing, vol. 60, pp. 689-705. https://doi.org/10.1016/j.asoc.2017.07.030
Zhang, G, Su, Z, Li, M, Yue, F, Jiang, J & Yao, X 2017, 'Constraint handling in NSGA-II for solving optimal testing resource allocation problems', IEEE Transactions on Reliability, vol. 66, no. 4, pp. 1193-1212. https://doi.org/10.1109/TR.2017.2738660
Li, M, Zhen, L & Yao, X 2017, 'How to read many-objective solution sets in parallel coordinates [educational forum]', IEEE Computational Intelligence Magazine, vol. 12, no. 4, pp. 88-100. https://doi.org/10.1109/MCI.2017.2742869
Conference contribution
Li, M & Yao, X 2019, An empirical investigation of the optimality and monotonicity properties of multiobjective archiving methods. in K Deb, E Goodman, C Coello Coello, K Klamroth, K Miettinen, S Mostaghim & P Reed (eds), Evolutionary Multi-Criterion Optimization: 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings. Lecture Notes in Computer Science - Theoretical Computer Science and General Issues, vol. 11411, Springer, pp. 15-26, 10th International Conference on Evolutionary Multi-Criterion Optimization, (EMO 19), East Lansing, Michigan, United States, 10/03/19. https://doi.org/10.1007/978-3-030-12598-1_2
Li, M, Chen, T & Yao, X 2018, A critical review of "a practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering": Essay on quality indicator selection for SBSE. in ICSE-NIER 2018 Proceedings of the 2018 ACM/IEEE 40th International Conference on Software Engineering: New Ideas and Emerging Results. Proceedings - International Conference on Software Engineering, Association for Computing Machinery (ACM), pp. 17-20, 40th ACM/IEEE International Conference on Software Engineering: New Ideas and Emerging Results, ICSE-NIER 2018, Gothenburg, Sweden, 30/05/18. https://doi.org/10.1145/3183399.3183405, https://doi.org/https://dl.acm.org/citation.cfm?doid=3183399.3183405
Zhen, L, Li, M, Cheng, R, Peng, D & Yao, X 2017, Adjusting parallel coordinates for investigating multi-objective search. in X Li, M Zhang, Q Zhang, M Middendorf, KC Tan, Y Tan, Y Jin, Y Shi & K Tang (eds), Simulated Evolution and Learning : 11th International Conference, SEAL 2017, Proceedings. Lecture Notes in Computer Science, vol. 10593 , Springer, pp. 224-235, 11th International Conference on Simulated Evolution and Learning, SEAL 2017, Shenzhen, China, 10/11/17. https://doi.org/10.1007/978-3-319-68759-9_19
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