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Shouyong Jiang
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Cited by
Year
A strength Pareto evolutionary algorithm based on reference direction for multiobjective and many-objective optimization
S Jiang, S Yang
IEEE Transactions on Evolutionary Computation 21 (3), 329-346, 2017
3382017
A steady-state and generational evolutionary algorithm for dynamic multiobjective optimization
S Jiang, S Yang
IEEE Transactions on evolutionary Computation 21 (1), 65-82, 2016
2792016
An improved multiobjective optimization evolutionary algorithm based on decomposition for complex Pareto fronts
S Jiang, S Yang
IEEE transactions on cybernetics 46 (2), 421-437, 2016
2322016
Evolutionary dynamic multiobjective optimization: Benchmarks and algorithm comparisons
S Jiang, S Yang
IEEE transactions on cybernetics 47 (1), 198-211, 2016
2092016
Benchmark Functions for the CEC'2018 Competition on Dynamic Multiobjective Optimization
S Jiang, S Yang, X Yao, KC Tan, M Kaiser, N Krasnogor
Newcastle University, 2018
1372018
Benchmark Functions for the CEC'2018 Competition on Dynamic Multiobjective Optimization
S Jiang, S Yang, X Yao, KC Tan, M Kaiser, N Krasnogor
Newcastle University, 2018
1332018
Novel prediction strategies for dynamic multiobjective optimization
Q Zhang, S Yang, S Jiang, R Wang, X Li
IEEE Transactions on Evolutionary Computation 24 (2), 260-274, 2019
1012019
Scalarizing functions in decomposition-based multiobjective evolutionary algorithms
S Jiang, S Yang, Y Wang, X Liu
IEEE Transactions on Evolutionary Computation 22 (2), 296-313, 2017
902017
Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes
S Yang, S Jiang, Y Jiang
Soft Computing 21 (16), 4677-4691, 2017
882017
Deep learning based prediction on greenhouse crop yield combined TCN and RNN
L Gong, M Yu, S Jiang, V Cutsuridis, S Pearson
Sensors 21 (13), 4537, 2021
752021
Evolutionary dynamic multi-objective optimisation: A survey
S Jiang, J Zou, S Yang, X Yao
ACM Computing Surveys 55 (4), 1-47, 2022
632022
A scalable test suite for continuous dynamic multiobjective optimization
S Jiang, M Kaiser, S Yang, S Kollias, N Krasnogor
IEEE transactions on cybernetics 50 (6), 2814-2826, 2019
502019
An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth
B Alhnaity, S Kollias, G Leontidis, S Jiang, B Schamp, S Pearson
Information Sciences 560, 35-50, 2021
392021
A framework of scalable dynamic test problems for dynamic multi-objective optimization
S Jiang, S Yang
2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain …, 2014
262014
Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons
Y Wang, J Yu, S Yang, S Jiang, S Zhao
Swarm and Evolutionary Computation 50, 100559, 2019
252019
Handling dynamic multiobjective optimization environments via layered prediction and subspace-based diversity maintenance
Y Hu, J Zheng, S Jiang, S Yang, J Zou
IEEE Transactions on Cybernetics 53 (4), 2572-2585, 2021
242021
Dynamic multi-objective optimization algorithm based decomposition and preference
Y Hu, J Zheng, J Zou, S Jiang, S Yang
Information Sciences 571, 175-190, 2021
222021
Convergence versus diversity in multiobjective optimization
S Jiang, S Yang
International Conference on Parallel Problem Solving from Nature, 984-993, 2016
222016
AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation
S Jiang, H Li, J Guo, M Zhong, S Yang, M Kaiser, N Krasnogor
Information Sciences 515, 365-387, 2020
212020
On the use of hypervolume for diversity measurement of Pareto front approximations
S Jiang, S Yang, M Li
2016 IEEE symposium series on computational intelligence (SSCI), 1-8, 2016
172016
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Articles 1–20