Incomplete list of publications.
Published in IEEE Transactions on Cybernetics, 2022
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Recommended citation: Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou, "Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance." IEEE Transactions on Cybernetics, 2022.
Published in Bioinformatics, 2022
submitted
Recommended citation: Shouyong Jiang, Natalio Krasnogor, "Bilevel Modelling for computational metabolic engineering." Bioinformatics, 2022.
Published in Smart Agricultural Technology, 2021
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Recommended citation: Liyun Gong, Miao Yu, Shouyong Jiang, Vassilis Cutsuridis, Stefanos Kollias, Simon Pearson, "Studies of evolutionary algorithms for the reduced Tomgro model calibration for modelling tomato yields." Smart Agricultural Technology, 2021.
Published in Plos one, 2021
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Recommended citation: Qingyang Zhang, Shouyong Jiang, Shengxiang Yang, Hui Song, "Solving dynamic multi-objective problems with a new prediction-based optimization algorithm." Plos one, 2021.
Published in In the proceedings of Journal of Physics: Conference Series, 2021
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Recommended citation: QY Zhang, XY He, YQ Dong, SY Jiang, H Song, "Optimizing the flight route of UAV using biology migration algorithm." In the proceedings of Journal of Physics: Conference Series, 2021.
Published in In the proceedings of International Conference on Evolutionary Multi-Criteria Optimization, 2021
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Recommended citation: Shouyong Jiang, Jinglei Guo, Bashar Alhnaity, Qingyang Zhang, "On analysis of irregular Pareto front shapes." In the proceedings of International Conference on Evolutionary Multi-Criteria Optimization, 2021.
Published in Chaos: An Interdisciplinary Journal of Nonlinear Science, 2021
Recommended citation: Vassilis Cutsuridis, Shouyong Jiang, Matt Dunn, Anne Rosser, James Brawn, Jonathan Erichsen, "Neural modeling of antisaccade performance of healthy controls and early Huntington's disease patients." Chaos: An Interdisciplinary Journal of Nonlinear Science, 2021. https://doi.org/10.1063/5.0021584
Published in ACM Computing Surveys, 2021
accepted
Recommended citation: Shouyong Jiang, Juan Zou, Yang Shengxiang, Yao Xin, "Evolutionary dynamic multi-objective optimisation: a survey." ACM Computing Surveys, 2021.
Published in Information Sciences, 2021
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Recommended citation: Y. Hu, J. Zheng, S. Jiang, S Yang, "Dynamic multi-objective optimization algorithm based decomposition and preference." Information Sciences, 2021.
Published in Sensors, 2021
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Recommended citation: Liyun Gong, Miao Yu, Shouyong Jiang, Vassilis Cutsuridis, Simon Pearson, "Deep learning based prediction on greenhouse crop yield combined TCN and RNN." Sensors, 2021.
Published in IEEE Transactions on Cybernetics, 2021
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Recommended citation: Jiao Liu, Yong Wang, Pei-Qiu Huang, Shouyong Jiang, "CaR: A Cutting and Repulsion-Based Evolutionary Framework for Mixed-Integer Programming Problems." IEEE Transactions on Cybernetics, 2021.
Published in IEEE Transactions on Evolutionary Computation, 2021
submitted
Recommended citation: Shouyong Jiang, Jinglei Guo, Qingfu Zhang, "Bilevel decomposition in decomposition based evolutionary algorithms." IEEE Transactions on Evolutionary Computation, 2021.
Published in Information Sciences, 2021
Recommended citation: Bashar Alhnaity, Stefanos Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson, "An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth." Information Sciences, 2021. https://www.sciencedirect.com/science/article/pii/S002002552100075X
Published in In the proceedings of 2021 IEEE Congress on Evolutionary Computation (CEC), 2021
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Recommended citation: Jinglei Guo, Miaomiao Shao, Shouyong Jiang, "A niche based multi-objective particle swarm optimizer." In the proceedings of 2021 IEEE Congress on Evolutionary Computation (CEC), 2021.
Published in Soft Computing, 2020
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Recommended citation: Jinglei Guo, Yong Wu, Wei Xie, Shouyong Jiang, "Triangular Gaussian mutation to differential evolution." Soft Computing, 2020.
Published in Bioinformatics, 2020
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Recommended citation: Shouyong Jiang, Yong Wang, Marcus Kaiser, Natalio Krasnogor, "NIHBA: a network interdiction approach for metabolic engineering design." Bioinformatics, 2020.
Published in In the proceedings of Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020
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Recommended citation: Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Shengxiang Yang, "An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme." In the proceedings of Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020.
Published in Information Sciences, 2020
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Recommended citation: Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor, "AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation." Information Sciences, 2020.
Published in IEEE Transactions on Evolutionary Computation, 2019
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Recommended citation: Qingyang Zhang, Shengxiang Yang, Shouyong Jiang, Ronggui Wang, Xiaoli Li, "Novel prediction strategies for dynamic multiobjective optimization." IEEE Transactions on Evolutionary Computation, 2019.
Published in Swarm and Evolutionary Computation, 2019
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Recommended citation: Yong Wang, Jian Yu, Shengxiang Yang, Shouyong Jiang, Shuang Zhao, "Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons." Swarm and Evolutionary Computation, 2019.
Published in IEEE transactions on cybernetics, 2019
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Recommended citation: Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos Kollias, Natalio Krasnogor, "A scalable test suite for continuous dynamic multiobjective optimization." IEEE transactions on cybernetics, 2019.
Published in In the proceedings of Conference of the Spanish Association for Artificial Intelligence, 2018
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Recommended citation: Marina Torres, Shouyong Jiang, David Pelta, Marcus Kaiser, Natalio Krasnogor, "Strain design as multiobjective network interdiction problem: a preliminary approach." In the proceedings of Conference of the Spanish Association for Artificial Intelligence, 2018.
Published in In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference, 2018
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Recommended citation: Shouyong Jiang, Marcus Kaiser, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor, "Less detectable environmental changes in dynamic multiobjective optimisation." In the proceedings of Proceedings of the Genetic and Evolutionary Computation Conference, 2018.
Published in In the proceedings of Proceedings 27th Int. Joint Conf. Art. Intell. & 23rd Euro. Conf. Art. Intell.(IJCAI-ECAI), 2018
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Recommended citation: Shouyong Jiang, Marina Anaya, David Pelta, Preben Krabben, Marcus Kaiser, Natalio Krasnogor, "Improving microbial strain design via multiobjective optimisation and decision making." In the proceedings of Proceedings 27th Int. Joint Conf. Art. Intell. & 23rd Euro. Conf. Art. Intell.(IJCAI-ECAI), 2018.
Published in Newcastle University, 2018
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Recommended citation: Shouyong Jiang, Shengxiang Yang, Xin Yao, Kay Tan, Marcus Kaiser, Natalio Krasnogor, "Benchmark Functions for the CEC'2018 Competition on Dynamic Multiobjective Optimization." Newcastle University, 2018.
Published in In the proceedings of 2018 IEEE Congress on Evolutionary Computation (CEC), 2018
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Recommended citation: Shouyong Jiang, Marcus Kaiser, Shuzhen Wan, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor, "An empirical study of dynamic triobjective optimisation problems." In the proceedings of 2018 IEEE Congress on Evolutionary Computation (CEC), 2018.
Published in IFAC-PapersOnLine, 2018
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Recommended citation: Li Hongru, Hu Jinxing, Jiang Shouyong, "A hybrid PSO based on dynamic clustering for global optimization." IFAC-PapersOnLine, 2018.
Published in IEEE Transactions on Evolutionary Computation, 2017
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Recommended citation: Shouyong Jiang, Shengxiang Yang, Yong Wang, Xiaobin Liu, "Scalarizing functions in decomposition-based multiobjective evolutionary algorithms." IEEE Transactions on Evolutionary Computation, 2017.
Published in Soft Computing, 2017
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Recommended citation: Shengxiang Yang, Shouyong Jiang, Yong Jiang, "Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes." Soft Computing, 2017.
Published in IEEE Transactions on Evolutionary Computation, 2017
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Recommended citation: Shouyong Jiang, Shengxiang Yang, "A strength Pareto evolutionary algorithm based on reference direction for multiobjective and many-objective optimization." IEEE Transactions on Evolutionary Computation, 2017.
Published in In the proceedings of 2016 IEEE symposium series on computational intelligence (SSCI), 2016
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Recommended citation: Shouyong Jiang, Shengxiang Yang, Miqing Li, "On the use of hypervolume for diversity measurement of Pareto front approximations." In the proceedings of 2016 IEEE symposium series on computational intelligence (SSCI), 2016.
Published in IEEE transactions on cybernetics, 2016
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Recommended citation: Shouyong Jiang, Shengxiang Yang, "Evolutionary dynamic multiobjective optimization: Benchmarks and algorithm comparisons." IEEE transactions on cybernetics, 2016.
Published in De Montfort University, 2016
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Recommended citation: Shouyong Jiang, "Evolutionary Algorithms for Static and Dynamic Multiobjective Optimization." De Montfort University, 2016.
Published in In the proceedings of International Conference on Parallel Problem Solving from Nature, 2016
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Recommended citation: Shouyong Jiang, Shengxiang Yang, "Convergence versus diversity in multiobjective optimization." In the proceedings of International Conference on Parallel Problem Solving from Nature, 2016.
Published in IEEE transactions on cybernetics, 2016
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Recommended citation: Shouyong Jiang, Shengxiang Yang, "An improved multiobjective optimization evolutionary algorithm based on decomposition for complex Pareto fronts." IEEE transactions on cybernetics, 2016.
Published in In the proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC), 2016
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Recommended citation: Jinglei Guo, Shengxiang Yang, Shouyong Jiang, "An adaptive penalty-based boundary intersection approach for multiobjective evolutionary algorithm based on decomposition." In the proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC), 2016.
Published in IEEE Transactions on evolutionary Computation, 2016
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Recommended citation: Shouyong Jiang, Shengxiang Yang, "A steady-state and generational evolutionary algorithm for dynamic multiobjective optimization." IEEE Transactions on evolutionary Computation, 2016.
Published in In the proceedings of 2015 UK Computational Intelligence (UKCI), 2015
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Recommended citation: Shouyong Jiang, Shengxiang Yang, "Approximating Multiobjective Optimization Problems with Complex Pareto Fronts." In the proceedings of 2015 UK Computational Intelligence (UKCI), 2015.
Published in In the proceedings of 2015 UK Computational Intelligence (UKCI), 2015
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Recommended citation: Shouyong Jiang, Shengxiang Yang, "A Fast Strength Pareto Evolutionary Algorithm Incorporating Predefined Preference Information." In the proceedings of 2015 UK Computational Intelligence (UKCI), 2015.
Published in Computer Science, 2014
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Recommended citation: Weiyi Qian, Huichao Hou, Shouyong Jiang, "New Self-adaptive Cuckoo Search Algorithm." Computer Science, 2014.
Published in In the proceedings of 2014 IEEE Congress on Evolutionary Computation (CEC), 2014
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Recommended citation: Shouyong Jiang, Shengxiang Yang, "An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation." In the proceedings of 2014 IEEE Congress on Evolutionary Computation (CEC), 2014.
Published in In the proceedings of 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), 2014
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Recommended citation: Shouyong Jiang, Shengxiang Yang, "A framework of scalable dynamic test problems for dynamic multi-objective optimization." In the proceedings of 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), 2014.
Published in In the proceedings of 2014 14th UK Workshop on Computational Intelligence (UKCI), 2014
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Recommended citation: Shouyong Jiang, Shengxiang Yang, "A benchmark generator for dynamic multi-objective optimization problems." In the proceedings of 2014 14th UK Workshop on Computational Intelligence (UKCI), 2014.