Recent publications
Article
He, Y, Wang, Y, Wang, S & Yao, X 2022, 'A cooperative ensemble method for multistep wind speed probabilistic forecasting', Chaos, Solitons and Fractals, vol. 162, 112416. https://doi.org/10.1016/j.chaos.2022.112416
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2022, 'A novel generalised meta-heuristic framework for dynamic capacitated arc routing problems', IEEE Transactions on Evolutionary Computation, vol. 2022, pp. 1-15. https://doi.org/10.1109/TEVC.2022.3147509
Shi, X, Minku, L & Yao, X 2022, 'A novel tree-based representation for evolving analog circuits and its application to memristor-based pulse generation circuit', Genetic Programming and Evolvable Machines. https://doi.org/10.1007/s10710-022-09436-w
Shi, X, Minku, L & Yao, X 2022, 'Adaptive memory-enhanced time delay reservoir and its memristive implementation', IEEE Transactions on Computers, pp. 1-11. https://doi.org/10.1109/TC.2022.3173151
Conference contribution
Song, L, Li, S, Minku, L & Yao, X 2022, A novel data stream learning approach to tackle one-sided label noise from verification latency. in 2022 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks (IJCNN), IEEE, 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18/07/22.
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2022, Benchmarking dynamic capacitated arc routing algorithms using real-world traffic simulation. in 2022 IEEE Congress on Evolutionary Computation (CEC). vol. 2022, Congress on Evolutionary Computation, IEEE, 2022 IEEE Congress on Evolutionary Computation, Padua, Italy, 18/07/22. https://doi.org/10.1109/CEC55065.2022.9870399
Shi, X, Gao, J, Minku, L & Yao, X 2022, Evolving parsimonious circuits through Shapley value-based genetic programming. in GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. vol. 2022, Proceedings of the Genetic and Evolutionary Computation Conference, Association for Computing Machinery (ACM), New York, pp. 602-605, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, United States, 9/07/22. https://doi.org/10.1145/3520304.3529032
Saha, S, Minku, L, Yao, X, Sendhoff, B & Menzel, S 2022, Exploiting 3D variational autoencoders for interactive vehicle design. in DESIGN2022. vol. 2, Proceedings of the Design Society, Cambridge University Press, pp. 1747-1756, DESIGN 2022, Croatia, 23/05/22. https://doi.org/10.1017/pds.2022.177
Saha, S, Rios, T, Minku, L, Vas Stein, B, Wollstadt, P, Yao, X, Back, T, Sendhoff, B & Menzel, S 2022, Exploiting generative models for performance predictions of 3D car designs. in 2021 IEEE Symposium Series on Computational Intelligence (SSCI)., 9660034, IEEE Symposium Series on Computational Intelligence, IEEE, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), 4/12/21. https://doi.org/10.1109/SSCI50451.2021.9660034
Friess, S, Tiňo, P, Menzel, S, Sendhoff, B & Yao, X 2022, Predicting CMA-ES operators as inductive biases for shape optimization problems. in 2021 IEEE Symposium Series on Computational Intelligence (SSCI)., 9660001, IEEE Symposium Series on Computational Intelligence, IEEE, pp. 1-7, 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 5/12/21. https://doi.org/10.1109/SSCI50451.2021.9660001
Shi, X, Gao, J, Minku, L, Yu, J & Yao, X 2022, Second-order time delay reservoir computing for nonlinear time series problems. in 2021 IEEE Symposium Series on Computational Intelligence (SSCI)., 9659913, IEEE Symposium Series on Computational Intelligence, IEEE, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), 4/12/21. https://doi.org/10.1109/SSCI50451.2021.9659913
Saha, S, Minku, L, Yao, X, Sendhoff, B & Menzel, S 2022, Split-AE: an autoencoder-based disentanglement framework for 3D shape-to-shape feature transfer. in 2022 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks (IJCNN), IEEE, 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 18/07/22.
Tong, H, Minku, L, Menzel, S, Senhoff, B & Yao, X 2022, What makes the dynamic capacitated arc routing problem hard to solve: insights from fitness landscape analysis. in GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference. vol. 2022, Association for Computing Machinery (ACM), New York, pp. 305-313, GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, United States, 9/07/22. https://doi.org/10.1145/3512290.3528756
Tong, H, Minku, L, Menzel, S, Sendhoff, B & Yao, X 2021, A hybrid local search framework for the dynamic capacitated arc routing problem. in F Chicano (ed.), GECCO '21: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference (GECCO), Association for Computing Machinery (ACM), New York, pp. 139-140, Genetic and Evolutionary Computation Conference, 10/07/21. https://doi.org/10.1145/3449726.3459450
Friess, S, Tiňo, P, Xu, Z, Menzel, S, Sendhoff, B & Yao, X 2021, Artificial neural networks as feature extractors in continuous evolutionary optimization. in 2021 International Joint Conference on Neural Networks (IJCNN)., 9533915, International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 1-9, 2021 International Joint Conference on Neural Networks (IJCNN), 18/07/21. https://doi.org/10.1109/IJCNN52387.2021.9533915
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