Optimal approximation of stable linear systems with a novel and efficient optimization algorithm. - Qiaoyong Jiang; Lei Wang 030; Xinhong Hei 001; Rong Fei; Dongdong Yang; Feng Zou 001; Hongye Li; Zijian Cao 001; Yanyan Lin (IEEE Congress on Evolutionary Computation, 2014)

A hybridization of teaching-learning-based optimization and differential evolution for chaotic time series prediction. - Lei Wang 030; Feng Zou 001; Xinhong Hei 001; Dongdong Yang; Debao Chen; Qiaoyong Jiang; Zijian Cao 001 (Neural Comput. Appl., 2014)

An effective cooperative coevolution framework integrating global and local search for large scale optimization problems. - Zijian Cao 001; Lei Wang 030; Yuhui Shi 001; Xinhong Hei 001; Xiaofeng Rong; Qiaoyong Jiang; Hongye Li (CEC, 2015)

Random Grouping Brain Storm Optimization Algorithm with a New Dynamically Changing Step Size. - Zijian Cao 001; Yuhui Shi 001; Xiaofeng Rong; Baolong Liu; Zhiqiang Du; Bo Yang (ICSI (1), 2015)

A phase based optimization algorithm for big optimization problems. - Zijian Cao 001; Lei Wang 030; Xinhong Hei 001; Qiaoyong Jiang; Xiaofeng Lu; Xiaofan Wang 002 (CEC, 2016)

A Quick Algorithm for Rule Acquisition Based on Distributed Computing. - Xiaofan Wang 002; Lei Wang 030; Yujun Li; Bin Wang 046; Xinhong Hei 001; Zijian Cao 001 (SmartCloud, 2016)

An Optimization Algorithm Inspired by the Phase Transition Phenomenon for Global Optimization Problems with Continuous Variables. - Zijian Cao 001; Lei Wang 030 (Algorithms, 2017)

Cuckoo search algorithm with dynamic feedback information. - Jiatang Cheng; Lei Wang 030; Qiaoyong Jiang; Zijian Cao 001; Yan Xiong (Future Gener. Comput. Syst., 2018)

A global-best guided phase based optimization algorithm for scalable optimization problems and its application. - Zijian Cao 001; Lei Wang 030; Xinhong Hei 001 (J. Comput. Sci., 2018)

A comprehensive study of phase based optimization algorithm on global optimization problems and its applications. - Zijian Cao 001; Lei Wang 030 (Appl. Intell., 2019)

An active learning brain storm optimization algorithm with a dynamically changing cluster cycle for global optimization. - Zijian Cao 001; Lei Wang 030 (Clust. Comput., 2019)

A network intrusion detection system based on convolutional neural network. - Hui Wang; Zijian Cao 001; Bo Hong (J. Intell. Fuzzy Syst., 2020)

Evolutionary optimization of artificial neural network using an interactive phase-based optimization algorithm for chaotic time series prediction. - Zijian Cao 001 (Soft Comput., 2020)

An Improved MOEA/D Framework with Multoperator Strategies for Multi-objective Optimization Problems with a Large Scale of Variables. - Zijian Cao 001; Chen Liu; Zhenyu Wang; Haowen Jia (CEC, 2021)

An Adaptive Exploratory Q-Learning Algorithm for Multiple Target Path Planning. - Haowen Jia; Zijian Cao 001; Zhenyu Wang; Yanfang Fu (CIS, 2021)

Multi-Controller Load Balancing Algorithm for Test Network Based on IACO. - Yanfang Fu; Yuting Zhu; Zijian Cao 001; Zhiqiang Du; Guochuang Yan; Jiang Du (Symmetry, 2021)

A LSTM Forecasting Model Based on ASSOMA. - Xiaofeng Rong; Chang Wang; Zijian Cao 001 (NaNA, 2022)

Differential Evolution with Autonomous Selection of Mutation Strategies and Control Parameters and Its Application. - Zhenyu Wang; Zijian Cao 001; Zhiqiang Du; Haowen Jia; Binhui Han; Feng Tian 006; Fuxi Liu (Complex., 2022)

An adaptive differential evolution framework based on population feature information. - Zijian Cao 001; Zhenyu Wang; Yanfang Fu; Haowen Jia; Feng Tian 006 (Inf. Sci., 2022)

An adaptive biogeography-based optimization with cumulative covariance matrix for rule-based network intrusion detection. - Zijian Cao 001; Jian Li; Yanfang Fu; Zhenyu Wang; Haowen Jia; Feng Tian 006 (Swarm Evol. Comput., 2022)

An adaptive moth flame optimization algorithm with historical flame archive strategy and its application. - Zhenyu Wang; Zijian Cao 001; Haowen Jia (Soft Comput., 2023)

An adaptive biogeography-based optimization with integrated covariance matrix learning for robust visual object tracking. - Jian Li; Zijian Cao 001; Fuguang Liu; Yanfang Fu; Xiao Li; Feng Tian 006 (Expert Syst. Appl., 2023)

Neural Radiation Fields via Accelerated and High Quality Parallel for Novel View Synthesis. - Liqiang Liu; Lingling Yang; Yanfang Fu; Dongmei Cai; Qianqing Luo; Zijian Cao 001 (ICIC (11), 2024)

An adaptive population size based Differential Evolution by mining historical population similarity for path planning of unmanned aerial vehicles. - Zijian Cao 001; Kai Xu; Zhenyu Wang; Ting Feng; Feng Tian 006 (Inf. Sci., 2024)

A differential evolution with autonomous strategy selection and its application in remote sensing image denoising. - Zijian Cao 001; Haowen Jia; Zhenyu Wang; Chuan Heng Foh; Feng Tian 006 (Expert Syst. Appl., 2024)

UAV Tracking via Saliency-Aware and Spatial-Temporal Regularization Correlation Filter Learning. - Liqiang Liu; Tiantian Feng; Yanfang Fu; Lingling Yang; Dongmei Cai; Zijian Cao 001 (Symmetry, 2024)

An autonomous differential evolution based on reinforcement learning for cooperative countermeasures of unmanned aerial vehicles. - Zijian Cao 001; Kai Xu; Haowen Jia; Yanfang Fu; Chuan Heng Foh; Feng Tian 006 (Appl. Soft Comput., 2025)