Soft-Sensing Modeling Based on Multi-Phases for Fermentation Process. - Qiangda Yang; Fuli Wang; Yuqing Chang (ICNC (2), 2007)

Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search. - Qiangda Yang; Jie Zhang 005; Zhi Yi (Appl. Soft Comput., 2019)

Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search. - Qiangda Yang; Yichuan Fu; Jie Zhang 005 (Neural Comput. Appl., 2021)

A collaborative cuckoo search algorithm with modified operation mode. - Qiangda Yang; Huan Huang; Jie Zhang 005; Hongbo Gao 002; Peng Liu (Eng. Appl. Artif. Intell., 2023)

An adaptive operator selection cuckoo search for parameter extraction of photovoltaic models. - Qiangda Yang; Yubo Wang; Jie Zhang 005; Hongbo Gao 002 (Appl. Soft Comput., 2024)

An elitist cuckoo search algorithm for combined heat and power economic dispatch. - Qiangda Yang; Hongbo Gao 002; Ning Dong; Peng Liu (Int. J. Prod. Res., 2024)

Differential evolution with migration mechanism and information reutilization for global optimization. - Qiangda Yang; Shufu Yuan; Hongbo Gao 002; Weijun Zhang (Expert Syst. Appl., 2024)

A general framework for improving cuckoo search algorithms with resource allocation and re-initialization. - Qiangda Yang; Yongxu Chen; Jie Zhang; Yubo Wang (Int. J. Mach. Learn. Cybern., 2024)