Dynamic Optimization of Industrial Processes With Nonuniform Discretization-Based Control Vector Parameterization. - Xu Chen 006; Wenli Du; Huaglory Tianfield; Rongbin Qi; Wangli He; Feng Qian 004 (IEEE Trans Autom. Sci. Eng., 2014)

Biogeography-based optimization with covariance matrix based migration. - Xu Chen 006; Huaglory Tianfield; Wenli Du; Guohai Liu (Appl. Soft Comput., 2016)

Biogeography-based learning particle swarm optimization. - Xu Chen 006; Huaglory Tianfield; Congli Mei; Wenli Du; Guohai Liu (Soft Comput., 2017)

Teaching-Learning-Based Artificial Bee Colony. - Xu Chen 006; Bin Xu 012 (ICSI (1), 2018)

An Improved Particle Swarm Optimization with Biogeography-Based Learning Strategy for Economic Dispatch Problems. - Xu Chen 006; Bin Xu 012; Wenli Du (Complex., 2018)

A Multistrategy-Based Multiobjective Differential Evolution for Optimal Control in Chemical Processes. - Bin Xu 012; Xu Chen 006; Xiuhui Huang; Lili Tao (Complex., 2018)

Differential evolution with adaptive trial vector generation strategy and cluster-replacement-based feasibility rule for constrained optimization. - Bin Xu 012; Xu Chen 006; Lili Tao (Inf. Sci., 2018)

Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in Chemical Engineering. - Xu Chen 006; Bin Xu 012; Kunjie Yu; Wenli Du (J. Appl. Math., 2018)

Quadratic interpolation based teaching-learning-based optimization for chemical dynamic system optimization. - Xu Chen 006; Congli Mei; Bin Xu 012; Kunjie Yu; Xiuhui Huang (Knowl. Based Syst., 2018)

Adaptive differential evolution with multi-population-based mutation operators for constrained optimization. - Bin Xu 012; Lili Tao; Xu Chen 006; Wushan Cheng (Soft Comput., 2019)

Self-adaptive differential artificial bee colony algorithm for global optimization problems. - Xu Chen 006; Huaglory Tianfield; Kangji Li (Swarm Evol. Comput., 2019)

A fast modeling and optimization scheme for greenhouse environmental system using proper orthogonal decomposition and multi-objective genetic algorithm. - Kangji Li; Zhengdao Sha; Wenping Xue; Xu Chen 006; Hanping Mao; Gang Tan (Comput. Electron. Agric., 2020)

Hybrid teaching - learning artificial neural network for city-level electrical load prediction. - Kangji Li; Xianming Xie; Wenping Xue; Xu Chen 006 (Sci. China Inf. Sci., 2020)

Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem. - Xu Chen 006; Kang Li 002; Bin Xu 012; Zhile Yang (Knowl. Based Syst., 2020)

Fireworks explosion based artificial bee colony for numerical optimization. - Xu Chen 006; Xuan Wei; Guanxue Yang; Wenli Du (Knowl. Based Syst., 2020)

A vectorized bimodal distribution based micro differential evolution algorithm (VB-mDE). - Xu Chen 006; Xueliang Miao; Hugo Tianfield (Multiagent Grid Syst., 2020)

Multiobjective Optimization of a Double-Side Linear Vernier PM Motor Using Response Surface Method and Differential Evolution. - Wenxiang Zhao; Anqi Ma; Jinghua Ji; Xu Chen 006; Tian Yao (IEEE Trans. Ind. Electron., 2020)

Bee-foraging learning particle swarm optimization. - Xu Chen 006; Hugo Tianfield; Wenli Du (Appl. Soft Comput., 2021)

Multi-Objective Optimization Design of a Modular Linear Permanent-Magnet Vernier Machine by Combined Approximation Models and Differential Evolution. - Wenxiang Zhao; Tian Yao; Liang Xu 004; Xu Chen 006; Xinxin Song (IEEE Trans. Ind. Electron., 2021)

Collective information-based particle swarm optimization for multi-fuel CHP economic dispatch problem. - Xu Chen 006; Kangji Li (Knowl. Based Syst., 2022)

Self-adaptive differential evolution with Gaussian-Cauchy mutation for large-scale CHP economic dispatch problem. - Xu Chen 006; Anning Shen (Neural Comput. Appl., 2022)