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ORCIDShouyong Jiang
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2020 – today
- 2024
[j26]Jinglei Guo
, Chen Gao, Shouyong Jiang, Wei Xie, Zhijian Wu:
An improved brain storm optimization with chunking-grouping method. Concurr. Comput. Pract. Exp. 36(4) (2024)- [j25]Yaru Hu, Juan Zou, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang:
A new framework of change response for dynamic multi-objective optimization. Expert Syst. Appl. 248: 123344 (2024) - [j24]Shouyong Jiang, Jinglei Guo, Yong Wang, Shengxiang Yang:
Evolutionary Multi/Many-Objective Optimisation via Bilevel Decomposition. IEEE CAA J. Autom. Sinica 11(9): 1973-1986 (2024) - [j23]Dewei Yi, Hasan Bayarov Ahmedov, Shouyong Jiang, Yiren Li, Sean Joseph Flinn, Paul G. Fernandes:
Coordinate-Aware Mask R-CNN with Group Normalization: A underwater marine animal instance segmentation framework. Neurocomputing 583: 127488 (2024) - [j22]Yaru Hu, Jiankang Peng, Junwei Ou, Yana Li, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang, Jun Li:
The IGD-based prediction strategy for dynamic multi-objective optimization. Swarm Evol. Comput. 91: 101713 (2024) - [j21]Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou, Rui Wang:
A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes. IEEE Trans. Evol. Comput. 28(1): 238-251 (2024) - 2023
- [j20]Shouyong Jiang, Juan Zou, Shengxiang Yang, Xin Yao:
Evolutionary Dynamic Multi-objective Optimisation: A Survey. ACM Comput. Surv. 55(4): 76:1-76:47 (2023) - [j19]Likai Wang, Qingyang Zhang, Xiangyu He, Shengxiang Yang, Shouyong Jiang, Yongquan Dong:
Biological survival optimization algorithm with its engineering and neural network applications. Soft Comput. 27(10): 6437-6463 (2023) - [j18]Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou:
Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance. IEEE Trans. Cybern. 53(4): 2572-2585 (2023) - [i4]Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang:
Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation. CoRR abs/2305.12752 (2023) - 2022
- [j17]Qingyang Zhang, Xiangyu He, Shengxiang Yang, Yongquan Dong, Hui Song, Shouyong Jiang:
Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm. Inf. Sci. 610: 868-886 (2022) - [j16]Jiao Liu, Yong Wang, Pei-Qiu Huang, Shouyong Jiang:
CaR: A Cutting and Repulsion-Based Evolutionary Framework for Mixed-Integer Programming Problems. IEEE Trans. Cybern. 52(12): 13129-13141 (2022) - [c13]Debinal Rajan, Shouyong Jiang, Dewei Yi, Wei Pang, George M. Coghill:
Enhanced Affinity Propagation Clustering on Heterogeneous Information Network. UKCI 2022: 334-346 - 2021
- [j15]Bashar Alhnaity, Stefanos D. 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. Inf. Sci. 560: 35-50 (2021) - [j14]Yaru Hu, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang:
Dynamic multi-objective optimization algorithm based decomposition and preference. Inf. Sci. 571: 175-190 (2021) - [j13]Liyun Gong, Miao Yu, Shouyong Jiang, Vassilis Cutsuridis, Simon Pearson:
Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN. Sensors 21(13): 4537 (2021) - [c12]Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Xinyu Zhou:
A Niche Based Multi-objective Particle Swarm Optimizer. CEC 2021: 1319-1326 - [c11]Shouyong Jiang, Jinglei Guo, Bashar Alhnaity, Qingyang Zhang:
On Analysis of Irregular Pareto Front Shapes. EMO 2021: 15-25 - 2020
- [j12]Shouyong Jiang, Yong Wang, Marcus Kaiser, Natalio Krasnogor:
NIHBA: a network interdiction approach for metabolic engineering design. Bioinform. 36(11): 3482-3492 (2020) - [j11]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. Inf. Sci. 515: 365-387 (2020) - [j10]Jinglei Guo, Yong Wu, Wei Xie, Shouyong Jiang:
Triangular Gaussian mutation to differential evolution. Soft Comput. 24(12): 9307-9320 (2020) - [j9]Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor:
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization. IEEE Trans. Cybern. 50(6): 2814-2826 (2020) - [j8]Qingyang Zhang, Shengxiang Yang, Shouyong Jiang, Ronggui Wang, Xiaoli Li:
Novel Prediction Strategies for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 24(2): 260-274 (2020) - [c10]Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Shengxiang Yang:
An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme. GECCO Companion 2020: 165-166 - [i3]Bashar Alhnaity, Stefanos D. Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson:
An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth. CoRR abs/2012.04041 (2020)
2010 – 2019
- 2019
- [j7]Yong Wang, Jian Yu, Shengxiang Yang, Shouyong Jiang, Shuang Zhao:
Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons. Swarm Evol. Comput. 50 (2019) - [i2]Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor:
A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation. CoRR abs/1903.02510 (2019) - [i1]Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor:
AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation. CoRR abs/1910.07491 (2019) - 2018
- [j6]Shouyong Jiang, Shengxiang Yang, Yong Wang, Xiaobin Liu:
Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 22(2): 296-313 (2018) - [c9]Marina Torres, Shouyong Jiang, David A. Pelta, Marcus Kaiser, Natalio Krasnogor:
Strain Design as Multiobjective Network Interdiction Problem: A Preliminary Approach. CAEPIA 2018: 273-282 - [c8]Shouyong Jiang, Marcus Kaiser, Shuzhen Wan, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor:
An Empirical Study of Dynamic Triobjective Optimisation Problems. CEC 2018: 1-8 - [c7]Shouyong Jiang, Marcus Kaiser, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor:
Less detectable environmental changes in dynamic multiobjective optimisation. GECCO 2018: 673-680 - 2017
- [j5]Shengxiang Yang, Shouyong Jiang, Yong Jiang:
Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes. Soft Comput. 21(16): 4677-4691 (2017) - [j4]Shouyong Jiang, Shengxiang Yang:
Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons. IEEE Trans. Cybern. 47(1): 198-211 (2017) - [j3]Shouyong Jiang, Shengxiang Yang:
A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 21(1): 65-82 (2017) - [j2]Shouyong Jiang, Shengxiang Yang:
A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization. IEEE Trans. Evol. Comput. 21(3): 329-346 (2017) - 2016
- [b1]Shouyong Jiang:
Evolutionary algorithms for static and dynamic multiobjective optimization. De Montfort University, Leicester, UK, 2016 - [j1]Shouyong Jiang, Shengxiang Yang:
An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts. IEEE Trans. Cybern. 46(2): 421-437 (2016) - [c6]Jinglei Guo, Shengxiang Yang, Shouyong Jiang:
An adaptive penalty-based boundary intersection approach for multiobjective evolutionary algorithm based on decomposition. CEC 2016: 2145-2152 - [c5]Shouyong Jiang, Shengxiang Yang:
Convergence Versus Diversity in Multiobjective Optimization. PPSN 2016: 984-993 - [c4]Shouyong Jiang, Shengxiang Yang, Miqing Li:
On the use of hypervolume for diversity measurement of Pareto front approximations. SSCI 2016: 1-8 - 2014
- [c3]Shouyong Jiang, Shengxiang Yang:
An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation. IEEE Congress on Evolutionary Computation 2014: 769-775 - [c2]Shouyong Jiang, Shengxiang Yang:
A framework of scalable dynamic test problems for dynamic multi-objective optimization. CIDUE 2014: 32-39 - [c1]Shouyong Jiang, Shengxiang Yang:
A benchmark generator for dynamic multi-objective optimization problems. UKCI 2014: 1-8
Coauthor Index
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