Recent publications
Article
Tong, H, Li, M, Liu, J & Yao, X 2025, 'How do dynamic events change the fitness landscape of traveling salesman problems?', IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/TEVC.2025.3538547
Herring, D, Kirley, M & Yao, X 2024, 'A comparative study of evolutionary approaches to the bi-objective dynamic Travelling Thief Problem', Swarm and Evolutionary Computation, vol. 84, 101433. https://doi.org/10.1016/j.swevo.2023.101433
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, 'Evaluating Meta-heuristic Algorithms for Dynamic Capacitated Arc Routing Problems Based on a Novel Lower Bound Method', IEEE Computational Intelligence Magazine, vol. 19, no. 4, 10709780, pp. 31-44. https://doi.org/10.1109/MCI.2024.3440213
Ruan, G, Minku, L, Xu, Z & Yao, X 2024, 'Evolutionary Optimization for Proactive and Dynamic Computing Resource Allocation in Open Radio Access Network', IEEE Transactions on Emerging Topics in Computational Intelligence. https://doi.org/10.1109/TETCI.2024.3499997
Ruan, G, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, 'Knowledge Transfer for Dynamic Multi-objective Optimization with a Changing Number of Objectives', IEEE Transactions on Emerging Topics in Computational Intelligence. https://doi.org/10.1109/TETCI.2024.3389769
Ruan, G, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2024, 'Learning to Expand/Contract Pareto Sets in Dynamic Multi-objective Optimization with a Changing Number of Objectives', IEEE Transactions on Evolutionary Computation. https://doi.org/10.1109/TEVC.2024.3375751
Li, M, López-Ibáñez, M & Yao, X 2024, 'Multi-objective archiving', IEEE Transactions on Evolutionary Computation, vol. 28, no. 3, pp. 696-717. https://doi.org/10.1109/TEVC.2023.3314152
Zhang, G, Li, L, Su, Z, Yue, F, Chen, Y, Li, M & Yao, X 2024, 'On estimating the feasible solution space of multi-objective testing resource allocation', ACM Transactions on Software Engineering and Methodology, vol. 33, no. 6, 145. https://doi.org/10.1145/3654444
Shi, X, Minku, L & Yao, X 2023, 'Evolving Memristive Reservoir', IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3270224
Conference contribution
Shi, X, Minku, L & Yao, X 2025, Novel Memristive Reservoir Computing with Evolvable Topology for Time Series Prediction. in M Mahmud, M Doborjeh, K Wong, ACS Leung, Z Doborjeh & M Tanveer (eds), Neural Information Processing: 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2–6, 2024, Proceedings, Part VI. 1 edn, Communications in Computer and Information Science, vol. 2287, Springer, Singapore, pp. 397-412, 31st International Conference on Neural Information Processing, Auckland, New Zealand, 2/12/24. https://doi.org/10.1007/978-981-96-6963-9_28
Zhang, Q, Li, M, Tang, K & Yao, X 2025, When is non-deteriorating population update in MOEAs beneficial? in H Singh, T Ray, J Knowles, X Li, J Branke, B Wang & A Oyama (eds), Evolutionary Multi-Criterion Optimization: 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part I. 1 edn, Lecture Notes in Computer Science, vol. 15512, Springer, pp. 31-45, 13th International Conference on Evolutionary Multi-Criterion Optimization , Canberra, Australia, 4/03/25. https://doi.org/10.1007/978-981-96-3538-2_3
Shi, X, Minku, L & Yao, X 2024, Tree-based Genetic Programming for Evolutionary Analog Circuit with Approximate Shapley Value. in M Bramer & F Stahl (eds), Artificial Intelligence XLI: 44th SGAI International Conference on Artificial Intelligence, AI 2024, Cambridge, UK, December 17–19, 2024, Proceedings, Part I. Lecture Notes in Artificial Intelligence, vol. 15446, Springer, 44th SGAI International Conference on Artificial Intelligence, Cambridge, United Kingdom, 17/12/24. https://doi.org/10.1007/978-3-031-77915-2_18
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2023, A Novel Generalized Metaheuristic Framework for Dynamic Capacitated Arc Routing Problems. 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. 45–46, GECCO '23: Genetic and Evolutionary Computation Conference, Lisbon, Portugal, 15/07/23. https://doi.org/10.1145/3583133.3595829
Song, L, Minku, L, Teng, C & Yao, X 2023, A Practical Human Labeling Method for Online Just-in-Time Software Defect Prediction. in S Chandra, K Blincoe & P Tonella (eds), ESEC/FSE 2023: Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. FSE: Foundations of Software Engineering, Association for Computing Machinery (ACM), pp. 605–617, 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, San Francisco, California, United States, 3/12/23. https://doi.org/10.1145/3611643.3616307
Preprint
Serra, G, Tino, P, Xu, Z & Yao, X 2024 'An Interpretable Alternative to Neural Representation Learning for Rating Prediction: Transparent Latent Class Modeling of User Reviews' arXiv. https://doi.org/10.48550/arXiv.2407.00063
View all publications in research portal