Enhancing the performance of biogeography-based optimization using polyphyletic migration operator and orthogonal learning. - Guojiang Xiong; Dongyuan Shi; Xianzhong Duan (Comput. Oper. Res., 2014)

Orthogonal learning competitive swarm optimizer for economic dispatch problems. - Guojiang Xiong; Dongyuan Shi (Appl. Soft Comput., 2018)

A Novel Method for Economic Dispatch with Across Neighborhood Search: A Case Study in a Provincial Power Grid, China. - Guojiang Xiong; Jing Zhang 022; Xufeng Yuan; Dongyuan Shi; Yu He; Yao Yao; Gonggui Chen (Complex., 2018)

Oppositional Brain Storm Optimization for Fault Section Location in Distribution Networks. - Guojiang Xiong; Jing Zhang 022; Dongyuan Shi; Yu He (Brain Storm Optimization Algorithms, 2019)

Application of Supply-Demand-Based Optimization for Parameter Extraction of Solar Photovoltaic Models. - Guojiang Xiong; Jing Zhang 022; Dongyuan Shi; Xufeng Yuan (Complex., 2019)

Modified Search Strategies Assisted Crossover Whale Optimization Algorithm with Selection Operator for Parameter Extraction of Solar Photovoltaic Models. - Guojiang Xiong; Jing Zhang 022; Dongyuan Shi; Lin Zhu; Xufeng Yuan; Gang Yao (Remote. Sens., 2019)

Short-Term Load Forecasting Based on Integration of SVR and Stacking. - Zhenqi Tan; Jing Zhang 022; Yu He; Ying Zhang; Guojiang Xiong; Ying Liu (IEEE Access, 2020)

A Probabilistic Assessment Method for Voltage Stability Considering Large Scale Correlated Stochastic Variables. - Jing Zhang 022; Luqin Fan; Ying Zhang; Gang Yao; Peijia Yu; Guojiang Xiong; Ke Meng 001; Xiangping Chen; Zhaoyang Dong (IEEE Access, 2020)

Parameter Extraction of Photovoltaic Models Using a Dynamic Self-Adaptive and Mutual- Comparison Teaching-Learning-Based Optimization. - Lei Li; Guojiang Xiong; Xufeng Yuan; Jing Zhang 022; Jinlong Chen (IEEE Access, 2021)

Fault section diagnosis of power systems with logical operation binary gaining-sharing knowledge-based algorithm. - Guojiang Xiong; Xufeng Yuan; Ali Wagdy Mohamed; Jing Zhang 022 (Int. J. Intell. Syst., 2022)

Opposition-mutual learning differential evolution with hybrid mutation strategy for large-scale economic load dispatch problems with valve-point effects and multi-fuel options. - Tianping Liu; Guojiang Xiong; Ali Wagdy Mohamed; Ponnuthurai Nagaratnam Suganthan (Inf. Sci., 2022)

Improved binary gaining-sharing knowledge-based algorithm with mutation for fault section location in distribution networks. - Guojiang Xiong; Xufeng Yuan; Ali Wagdy Mohamed; Jun Chen; Jing Zhang 022 (J. Comput. Des. Eng., 2022)

Takagi-Sugeno fuzzy based power system fault section diagnosis models via genetic learning adaptive GSK algorithm. - Changsong Li; Guojiang Xiong; Xiaofan Fu; Ali Wagdy Mohamed; Xufeng Yuan; Mohammed Azmi Al-Betar; Ponnuthurai Nagaratnam Suganthan (Knowl. Based Syst., 2022)

Optimal Identification of Unknown Parameters of Photovoltaic Models Using Dual-Population Gaining-Sharing Knowledge-Based Algorithm. - Guojiang Xiong; Lei Li; Ali Wagdy Mohamed; Jing Zhang 022; Yao Zhang; Hao Chen (Int. J. Intell. Syst., 2023)

Hybridizing gaining-sharing knowledge and differential evolution for large-scale power system economic dispatch problems. - Qinghua Liu; Guojiang Xiong; Xiaofan Fu; Ali Wagdy Mohamed; Jing Zhang 022; Mohammed Azmi Al-Betar; Hao Chen; Jun Chen; Sheng Xu (J. Comput. Des. Eng., 2023)

Improving fault tolerance in diagnosing power system failures with optimal hierarchical extreme learning machine. - Zixia Yuan; Guojiang Xiong; Xiaofan Fu; Ali Wagdy Mohamed (Reliab. Eng. Syst. Saf., 2023)

Economic emission dispatch of power systems considering solar uncertainty with extended multi-objective differential evolution. - Derong Lv; Guojiang Xiong; Xiaofan Fu (Expert Syst. Appl., 2023)

Exponential hybrid mutation differential evolution for economic dispatch of large-scale power systems considering valve-point effects. - Derong Lv; Guojiang Xiong; Xiaofan Fu; Mohammed Azmi Al-Betar; Jing Zhang 022; Houssem Rafik El-Hana Bouchekara; Hao Chen (Appl. Intell., 2023)

Differential evolution-based optimized hierarchical extreme learning machines for fault section diagnosis of large-scale power systems. - Guojiang Xiong; Xuan Xie; Zixia Yuan; Xiaofan Fu (Expert Syst. Appl., 2023)

Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things. - Sasikumar Asaithambi; Logesh Ravi; Malathi Devarajan; A. Selvalakshmi; Abdulaziz T. Almaktoom; Abdulaziz S. Almazyad; Guojiang Xiong; Ali Wagdy Mohamed (IEEE Access, 2024)

Corrections to "Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things". - Sasikumar Asaithambi; Logesh Ravi; Malathi Devarajan; A. Selvalakshmi; Abdulaziz T. Almaktoom; Abdulaziz S. Almazyad; Guojiang Xiong; Ali Wagdy Mohamed (IEEE Access, 2024)

An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection. - Farouq Zitouni; Abdulaziz S. Almazyad; Guojiang Xiong; Ali Wagdy Mohamed; Saad Harous (IEEE Access, 2024)

Corrections to "An Opposition-Based Great Wall Construction Metaheuristic Algorithm With Gaussian Mutation for Feature Selection". - Farouq Zitouni; Abdulaziz S. Almazyad; Guojiang Xiong; Ali Wagdy Mohamed; Saad Harous (IEEE Access, 2024)

Accurate parameters extraction of photovoltaic models with multi-strategy gaining-sharing knowledge-based algorithm. - Guojiang Xiong; Zaiyu Gu; Muhammad Aliman; Houssem Rafik El-Hana Bouchekara; Ponnuthurai Nagaratnam Suganthan (Inf. Sci., 2024)

Accurate fault section diagnosis of power systems with a binary adaptive quadratic interpolation learning differential evolution. - Xiangyu Liu; Guojiang Xiong; Seyedali Mirjalili (Reliab. Eng. Syst. Saf., 2024)

Large-scale power system multi-area economic dispatch considering valve point effects with comprehensive learning differential evolution. - Yang Wang; Guojiang Xiong; Shengping Xu; Ponnuthurai Nagaratnam Suganthan (Swarm Evol. Comput., 2024)

Orthogonal Experimental Design Based Binary Optimization Without Iteration for Fault Section Diagnosis of Power Systems. - Shunshun Sun; Guojiang Xiong; Ponnuthurai Nagaratnam Suganthan (IEEE Trans. Ind. Informatics, 2024)

Seasonal short-term photovoltaic power prediction based on GSK-BiGRU-XGboost considering correlation of meteorological factors. - Guojiang Xiong; Jing Zhang 022; Xiaofan Fu; Jun Chen; Ali Wagdy Mohamed (J. Big Data, 2024)

Economic emission dispatch of power systems considering uncertainty of wind-solar-hydro with fractional order multi-objective differential evolution. - Hanhao Guo; Guojiang Xiong; Ponnuthurai Nagaratnam Suganthan (Appl. Soft Comput., 2025)

Power system economic emission dispatch considering uncertainties of wind, solar, and small runoff hydropower via a hybrid multi-objective optimization algorithm. - Guojiang Xiong; Qinghua Liu; Yang Wang; Xiaofan Fu (Expert Syst. Appl., 2025)

Opposition-based learning techniques in metaheuristics: classification, comparison, and convergence analysis. - Rihab Lakbichi; Farouq Zitouni; Saad Harous; Aridj Ferhat; Abdelhadi Limane; Abdulaziz S. Almazyad; Guojiang Xiong; Ali Wagdy Mohamed (PeerJ Comput. Sci., 2025)

A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models. - Adel Zga; Farouq Zitouni; Saad Harous; Karam M. Sallam; Abdulaziz S. Almazyad; Guojiang Xiong; Ali Wagdy Mohamed (PeerJ Comput. Sci., 2025)

Metaheuristic optimization algorithms for multi-area economic dispatch of power systems: Part I - a comprehensive survey. - Yang Wang; Guojiang Xiong (Artif. Intell. Rev., 2025)

Metaheuristic optimization algorithms for multi-area economic dispatch of power systems: part II - a comparative study. - Yang Wang; Guojiang Xiong (Artif. Intell. Rev., 2025)