Shouyong Jiang

According to our database, Shouyong Jiang authored at least 39 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Mahalanobis Distance-Based Approach for Dynamic Multiobjective Optimization With Stochastic Changes.

Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou, Rui Wang

IEEE Trans. Evol. Comput., February, 2024

An improved brain storm optimization with chunking-grouping method.

Jinglei Guo, Chen Gao, Shouyong Jiang, Wei Xie, Zhijian Wu

Concurr. Comput. Pract. Exp., 2024

2023

Biological survival optimization algorithm with its engineering and neural network applications.

Likai Wang, Qingyang Zhang, Xiangyu He, Shengxiang Yang, Shouyong Jiang, Yongquan Dong

Soft Comput., May, 2023

Handling Dynamic Multiobjective Optimization Environments via Layered Prediction and Subspace-Based Diversity Maintenance.

Yaru Hu, Jinhua Zheng, Shouyong Jiang, Shengxiang Yang, Juan Zou

IEEE Trans. Cybern., April, 2023

Evolutionary Dynamic Multi-objective Optimisation: A Survey.

Shouyong Jiang, Juan Zou, Shengxiang Yang, Xin Yao

ACM Comput. Surv., 2023

Vector Autoregressive Evolution for Dynamic Multi-Objective Optimisation.

Shouyong Jiang, Yong Wang, Yaru Hu, Qingyang Zhang, Shengxiang Yang

CoRR, 2023

2022

CaR: A Cutting and Repulsion-Based Evolutionary Framework for Mixed-Integer Programming Problems.

Jiao Liu, Yong Wang, Pei-Qiu Huang, Shouyong Jiang

IEEE Trans. Cybern., 2022

Solving dynamic multi-objective problems using polynomial fitting-based prediction algorithm.

Qingyang Zhang, Xiangyu He, Shengxiang Yang, Yongquan Dong, Hui Song, Shouyong Jiang

Inf. Sci., 2022

2021

Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN.

Liyun Gong, Miao Yu, Shouyong Jiang, Vassilis Cutsuridis, Simon Pearson

Sensors, 2021

Dynamic multi-objective optimization algorithm based decomposition and preference.

Yaru Hu, Jinhua Zheng, Juan Zou, Shouyong Jiang, Shengxiang Yang

Inf. Sci., 2021

An autoencoder wavelet based deep neural network with attention mechanism for multi-step prediction of plant growth.

Bashar Alhnaity, Stefanos D. Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson

Inf. Sci., 2021

On Analysis of Irregular Pareto Front Shapes.

Shouyong Jiang, Jinglei Guo, Bashar Alhnaity, Qingyang Zhang

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

A Niche Based Multi-objective Particle Swarm Optimizer.

Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Xinyu Zhou

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Novel Prediction Strategies for Dynamic Multiobjective Optimization.

Qingyang Zhang, Shengxiang Yang, Shouyong Jiang, Ronggui Wang, Xiaoli Li

IEEE Trans. Evol. Comput., 2020

A Scalable Test Suite for Continuous Dynamic Multiobjective Optimization.

Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor

IEEE Trans. Cybern., 2020

Triangular Gaussian mutation to differential evolution.

Jinglei Guo, Yong Wu, Wei Xie, Shouyong Jiang

Soft Comput., 2020

AREA: An adaptive reference-set based evolutionary algorithm for multiobjective optimisation.

Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor

Inf. Sci., 2020

An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth.

Bashar Alhnaity, Stefanos D. Kollias, Georgios Leontidis, Shouyong Jiang, Bert Schamp, Simon Pearson

CoRR, 2020

NIHBA: a network interdiction approach for metabolic engineering design.

Shouyong Jiang, Yong Wang, Marcus Kaiser, Natalio Krasnogor

Bioinform., 2020

An improved multiobjective optimization evolutionary algorithm based on decomposition with hybrid penalty scheme.

Jinglei Guo, Miaomiao Shao, Shouyong Jiang, Shengxiang Yang

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Evolutionary dynamic constrained optimization: Test suite construction and algorithm comparisons.

Yong Wang, Jian Yu, Shengxiang Yang, Shouyong Jiang, Shuang Zhao

Swarm Evol. Comput., 2019

AREA: Adaptive Reference-set Based Evolutionary Algorithm for Multiobjective Optimisation.

Shouyong Jiang, Hongru Li, Jinglei Guo, Mingjun Zhong, Shengxiang Yang, Marcus Kaiser, Natalio Krasnogor

CoRR, 2019

A Scalable Test Suite for Continuous Dynamic Multiobjective Optimisation.

Shouyong Jiang, Marcus Kaiser, Shengxiang Yang, Stefanos D. Kollias, Natalio Krasnogor

CoRR, 2019

2018

Scalarizing Functions in Decomposition-Based Multiobjective Evolutionary Algorithms.

Shouyong Jiang, Shengxiang Yang, Yong Wang, Xiaobin Liu

IEEE Trans. Evol. Comput., 2018

Less detectable environmental changes in dynamic multiobjective optimisation.

Shouyong Jiang, Marcus Kaiser, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

An Empirical Study of Dynamic Triobjective Optimisation Problems.

Shouyong Jiang, Marcus Kaiser, Shuzhen Wan, Jinglei Guo, Shengxiang Yang, Natalio Krasnogor

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Strain Design as Multiobjective Network Interdiction Problem: A Preliminary Approach.

Marina Torres, Shouyong Jiang, David A. Pelta, Marcus Kaiser, Natalio Krasnogor

Proceedings of the Advances in Artificial Intelligence, 2018

2017

A Strength Pareto Evolutionary Algorithm Based on Reference Direction for Multiobjective and Many-Objective Optimization.

Shouyong Jiang, Shengxiang Yang

IEEE Trans. Evol. Comput., 2017

A Steady-State and Generational Evolutionary Algorithm for Dynamic Multiobjective Optimization.

Shouyong Jiang, Shengxiang Yang

IEEE Trans. Evol. Comput., 2017

Evolutionary Dynamic Multiobjective Optimization: Benchmarks and Algorithm Comparisons.

Shouyong Jiang, Shengxiang Yang

IEEE Trans. Cybern., 2017

Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes.

Shengxiang Yang, Shouyong Jiang, Yong Jiang

Soft Comput., 2017

2016

Evolutionary algorithms for static and dynamic multiobjective optimization.

Shouyong Jiang

PhD thesis, 2016

An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts.

Shouyong Jiang, Shengxiang Yang

IEEE Trans. Cybern., 2016

On the use of hypervolume for diversity measurement of Pareto front approximations.

Shouyong Jiang, Shengxiang Yang, Miqing Li

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Convergence Versus Diversity in Multiobjective Optimization.

Shouyong Jiang, Shengxiang Yang

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

An adaptive penalty-based boundary intersection approach for multiobjective evolutionary algorithm based on decomposition.

Jinglei Guo, Shengxiang Yang, Shouyong Jiang

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2014

A benchmark generator for dynamic multi-objective optimization problems.

Shouyong Jiang, Shengxiang Yang

Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

A framework of scalable dynamic test problems for dynamic multi-objective optimization.

Shouyong Jiang, Shengxiang Yang

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014

An improved quantum-behaved particle swarm optimization algorithm based on linear interpolation.

Shouyong Jiang, Shengxiang Yang

Proceedings of the IEEE Congress on Evolutionary Computation, 2014