Interest models and applications in analyzing the rise and decline of Qing dynasty. - Wenjun Wang 003; Yi Lin; Jubo Zhu (Kybernetes, 2011)

A Novel PSO-DE Co-evolutionary Algorithm Based on Decomposition Framework. - Shaoqiang Yang; Wenjun Wang 003; Qiuzhen Lin; Jianyong Chen (SmartCom, 2016)

Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm. - Qiuzhen Lin; Zhiwang Liu; Qiao Yan; Zhihua Du; Carlos A. Coello Coello; Zhengping Liang; Wenjun Wang 003; Jianyong Chen (Inf. Sci., 2016)

A novel adaptive hybrid crossover operator for multiobjective evolutionary algorithm. - Qingling Zhu; Qiuzhen Lin; Zhihua Du; Zhengping Liang; Wenjun Wang 003; Zexuan Zhu; Jianyong Chen; Peizhi Huang; Zhong Ming 001 (Inf. Sci., 2016)

A novel artificial bee colony algorithm with local and global information interaction. - Qiuzhen Lin; Miaomiao Zhu; Genghui Li; Wenjun Wang 003; Laizhong Cui; Jianyong Chen; Jian Lu 002 (Appl. Soft Comput., 2018)

A multi-objective immune algorithm with dynamic population strategy. - Qiuzhen Lin; Qingling Zhu; Na Wang; Peizhi Huang; Wenjun Wang 003; Jianyong Chen; Zhong Ming 001 (Swarm Evol. Comput., 2019)

An Effective Ensemble Framework for Multiobjective Optimization. - Wenjun Wang 003; Shaoqiang Yang; Qiuzhen Lin; Qingfu Zhang 001; Ka-Chun Wong; Carlos A. Coello Coello; Jianyong Chen (IEEE Trans. Evol. Comput., 2019)

Evolutionary Learning for Soft Margin Problems: A Case Study on Practical Problems with Kernels. - Wenjun Wang 003; Wei Pang 001; Paul A. Bingham; Mania Mania; Tzu-Yu Chen; Justin J. Perry (CEC, 2020)

A Genetic Algorithm with Tree-structured Mutation for Hyperparameter Optimisation of Graph Neural Networks. - Yingfang Yuan; Wenjun Wang 003; Wei Pang 001 (CEC, 2021)

A systematic comparison study on hyperparameter optimisation of graph neural networks for molecular property prediction. - Yingfang Yuan; Wenjun Wang 003; Wei Pang 001 (GECCO, 2021)

Which hyperparameters to optimise?: an investigation of evolutionary hyperparameter optimisation in graph neural network for molecular property prediction. - Yingfang Yuan; Wenjun Wang 003; Wei Pang 001 (GECCO Companion, 2021)

A Novel Genetic Algorithm with Hierarchical Evaluation Strategy for Hyperparameter Optimisation of Graph Neural Networks. - Yingfang Yuan; Wenjun Wang 003; George M. Coghill; Wei Pang 001 (CoRR, 2021)

HGADC: Hierarchical Genetic Algorithm with Density-Based Clustering for TSP. - Zhenghan Song; Yunyi Li; Wenjun Wang 003 (BIC-TA (1), 2023)

Evolving Molecular Graph Neural Networks with Hierarchical Evaluation Strategy. - Yingfang Yuan; Wenjun Wang 003; Xin Li 033; Kefan Chen; Yonghan Zhang; Wei Pang 001 (GECCO, 2024)