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
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Li, M & Yao, X 2018, 'What weights work for you? adapting weights for any pareto front shape in decomposition-based evolutionary multiobjective optimisation', Evolutionary Computation.
Li, K, Chen, R, Min, G & Yao, X 2018, 'Integration of Preferences in Decomposition Multiobjective Optimization', IEEE Transactions on Cybernetics, vol. 48, no. 12, pp. 3359-3370. https://doi.org/10.1109/TCYB.2018.2859363
Li, K, Deb, K & Yao, X 2018, 'R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multi-Objective Optimization Using Reference Points ', IEEE Transactions on Evolutionary Computation, vol. 22, no. 6, pp. 821 - 835. https://doi.org/10.1109/TEVC.2017.2737781
Xue, X & Yao, X 2018, 'Interactive ontology matching based on partial reference alignment', Applied Soft Computing, vol. 72, pp. 355-370. https://doi.org/10.1016/j.asoc.2018.08.003
Wang, S, Minku, LL & Yao, X 2018, 'A Systematic Study of Online Class Imbalance Learning With Concept Drift', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 10, pp. 4802-4821. https://doi.org/10.1109/TNNLS.2017.2771290
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Chen, T, Bahsoon, R & Yao, X 2018, 'A Survey and Taxonomy of Self-Aware and Self-Adaptive Cloud Autoscaling Systems', ACM Computing Surveys, vol. 51, no. 3, 61. https://doi.org/10.1145/3212709
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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
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