Shouyong Jiang

49 papers A 2B 4C 1Journal 35Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Multiobjective Optimisation Based on Vector Autoregressive Evolution. IEEE Trans. Evol. Comput. Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang
2026	J	`jnl`	MPRL: Multi-perspective representation learning for accurate and generalizable protein solubility prediction. Expert Syst. Appl. Xiongyan Yang, Shouyong Jiang, Yong Wang, Jinsong Gong
2025	J	`jnl`	Bilevel Modelling of Metabolic Networks for Computational Strain Design. Algorithms Beichen Wang, Shouyong Jiang, Shibo Xu, Jichun Li
2025	J	`jnl`	Knowledge Transfer With Mixture Model in Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. Juan Zou, Zhanglu Hou, Shouyong Jiang, Shengxiang Yang, Gan Ruan, Yizhang Xia, Yuan Liu
2025	J	`jnl`	Solving dynamic multi-objective engineering design problems via fuzzy c-means prediction algorithm. Swarm Evol. Comput. Qingyang Zhang, Xueliang Fu, Shengxiang Yang, Shouyong Jiang, Miqing Li, Zedong Zheng
2024	J	`jnl`	A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes. IEEE Trans. Evol. Comput. Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou, Rui Wang
2024	J	`jnl`	A new framework of change response for dynamic multi-objective optimization. Expert Syst. Appl. Yaru Hu, Juan Zou, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang
2024	J	`jnl`	An improved brain storm optimization with chunking-grouping method. Concurr. Comput. Pract. Exp. Jinglei Guo, Chen Gao, Shouyong Jiang, Wei Xie, Zhijian Wu
2024	J	`jnl`	Coordinate-Aware Mask R-CNN with Group Normalization: A underwater marine animal instance segmentation framework. Neurocomputing Dewei Yi, Hasan Bayarov Ahmedov, Shouyong Jiang, Yiren Li, Sean Joseph Flinn, Paul G. Fernandes
2024	J	`jnl`	Evolutionary Multi/Many-Objective Optimisation via Bilevel Decomposition. IEEE CAA J. Autom. Sinica Shouyong Jiang, Jinglei Guo, Yong Wang, Shengxiang Yang
2024	J	`jnl`	The IGD-based prediction strategy for dynamic multi-objective optimization. Swarm Evol. Comput. Yaru Hu, Jiankang Peng, Junwei Ou, Yana Li, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang, Jun Li
2023	J	`jnl`	Biological survival optimization algorithm with its engineering and neural network applications. Soft Comput. Likai Wang, Qingyang Zhang, Xiangyu He, Shengxiang Yang, Shouyong Jiang, Yongquan Dong
2023	J	`jnl`	Evolutionary Dynamic Multi-objective Optimisation: A Survey. ACM Comput. Surv. Shouyong Jiang, Juan Zou, Shengxiang Yang, Xin Yao
2023	J	`jnl`	Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance. IEEE Trans. Cybern. Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou
2023	J	`jnl`	Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation. CoRR Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang
2022	J	`jnl`	CaR: A Cutting and Repulsion-Based Evolutionary Framework for Mixed-Integer Programming Problems. IEEE Trans. Cybern. Jiao Liu, Yong Wang, Pei-Qiu Huang, Shouyong Jiang
2022	—	`conf`	Enhanced Affinity Propagation Clustering on Heterogeneous Information Network. UKCI Debinal Rajan, Shouyong Jiang, Dewei Yi, Wei Pang, George M. Coghill
2022	J	`jnl`	Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm. Inf. Sci. Qingyang Zhang, Xiangyu He, Shengxiang Yang, Yongquan Dong, Hui Song, Shouyong Jiang
2021	B	`conf`	A Niche Based Multi-objective Particle Swarm Optimizer. CEC Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Xinyu Zhou
2021	J	`jnl`	An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth. Inf. Sci. Bashar Alhnaity, Stefanos D. Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson
2021	J	`jnl`	Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN. Sensors Liyun Gong, Miao Yu, Shouyong Jiang, Vassilis Cutsuridis, Simon Pearson
2021	J	`jnl`	Dynamic multi-objective optimization algorithm based decomposition and preference. Inf. Sci. Yaru Hu, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang
2021	C	`conf`	On Analysis of Irregular Pareto Front Shapes. EMO Shouyong Jiang, Jinglei Guo, Bashar Alhnaity, Qingyang Zhang
2020	J	`jnl`	A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization. IEEE Trans. Cybern. Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor
2020	J	`jnl`	AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation. Inf. Sci. Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor
2020	J	`jnl`	An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth. CoRR Bashar Alhnaity, Stefanos D. Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson
2020	—	`conf`	An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme. GECCO Companion Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Shengxiang Yang
2020	J	`jnl`	NIHBA: a network interdiction approach for metabolic engineering design. Bioinform. Shouyong Jiang, Yong Wang, Marcus Kaiser, Natalio Krasnogor
2020	J	`jnl`	Novel Prediction Strategies for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. Qingyang Zhang, Shengxiang Yang, Shouyong Jiang, Ronggui Wang, Xiaoli Li
2020	J	`jnl`	Triangular Gaussian mutation to differential evolution. Soft Comput. Jinglei Guo, Yong Wu, Wei Xie, Shouyong Jiang
2019	J	`jnl`	A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation. CoRR Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor
2019	J	`jnl`	AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation. CoRR Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor
2019	J	`jnl`	Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons. Swarm Evol. Comput. Yong Wang, Jian Yu, Shengxiang Yang, Shouyong Jiang, Shuang Zhao
2018	B	`conf`	An Empirical Study of Dynamic Triobjective Optimisation Problems. CEC Shouyong Jiang, Marcus Kaiser, Shuzhen Wan, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor
2018	A	`conf`	Less detectable environmental changes in dynamic multiobjective optimisation. GECCO Shouyong Jiang, Marcus Kaiser, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor
2018	J	`jnl`	Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. Shouyong Jiang, Shengxiang Yang, Yong Wang, Xiaobin Liu
2018	—	`conf`	Strain Design as Multiobjective Network Interdiction Problem: A Preliminary Approach. CAEPIA Marina Torres, Shouyong Jiang, David A. Pelta, Marcus Kaiser, Natalio Krasnogor
2017	J	`jnl`	A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. Shouyong Jiang, Shengxiang Yang
2017	J	`jnl`	A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization. IEEE Trans. Evol. Comput. Shouyong Jiang, Shengxiang Yang
2017	J	`jnl`	Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons. IEEE Trans. Cybern. Shouyong Jiang, Shengxiang Yang
2017	J	`jnl`	Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes. Soft Comput. Shengxiang Yang, Shouyong Jiang, Yong Jiang
2016	J	`jnl`	An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts. IEEE Trans. Cybern. Shouyong Jiang, Shengxiang Yang
2016	B	`conf`	An adaptive penalty-based boundary intersection approach for multiobjective evolutionary algorithm based on decomposition. CEC Jinglei Guo, Shengxiang Yang, Shouyong Jiang
2016	A	`conf`	Convergence Versus Diversity in Multiobjective Optimization. PPSN Shouyong Jiang, Shengxiang Yang
2016	—	`—`	Evolutionary algorithms for static and dynamic multiobjective optimization. Shouyong Jiang
2016	—	`conf`	On the use of hypervolume for diversity measurement of Pareto front approximations. SSCI Shouyong Jiang, Shengxiang Yang, Miqing Li
2014	—	`conf`	A benchmark generator for dynamic multi-objective optimization problems. UKCI Shouyong Jiang, Shengxiang Yang
2014	—	`conf`	A framework of scalable dynamic test problems for dynamic multi-objective optimization. CIDUE Shouyong Jiang, Shengxiang Yang
2014	B	`conf`	An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation. IEEE Congress on Evolutionary Computation Shouyong Jiang, Shengxiang Yang