An Orthogonal Learning Design Whale Optimization Algorithm with Clustering Mechanism. - Fuqing Zhao; Haizhu Bao; Huan Liu 001 (CSCWD, 2021)

A Discrete Whale Optimization Algorithm for Blocking Flow-Shop Scheduling Problem with Sequence-Dependent Setup Times. - Fuqing Zhao; Haizhu Bao; Tianpeng Xu; Ningning Zhu (CSCWD, 2022)

A heuristic and meta-heuristic based on problem-specific knowledge for distributed blocking flow-shop scheduling problem with sequence-dependent setup times. - Fuqing Zhao; Haizhu Bao; Ling Wang 001; Tianpeng Xu; Ningning Zhu; Jonrinaldi (Eng. Appl. Artif. Intell., 2022)

A multipopulation cooperative coevolutionary whale optimization algorithm with a two-stage orthogonal learning mechanism. - Fuqing Zhao; Haizhu Bao; Ling Wang 001; Jie Cao 014; Jianxin Tang; Jonrinaldi (Knowl. Based Syst., 2022)

A hybrid cooperative differential evolution assisted by CMA-ES with local search mechanism. - Fuqing Zhao; Haizhu Bao; Ling Wang 001; Xuan He; Jonrinaldi (Neural Comput. Appl., 2022)

A Multi-action Reinforcement Learning Algorithm for Energy-efficiency Blocking Flow-shop Scheduling Problem. - Haizhu Bao; Quanke Pan; Miao Rong; Aolei Yang; Xiaohua Wang (CSCWD, 2023)

A cooperative whale optimization algorithm for energy-efficient scheduling of the distributed blocking flow-shop with sequence-dependent setup time. - Fuqing Zhao; Zesong Xu; Haizhu Bao; Tianpeng Xu; Ningning Zhu; Jonrinaldi (Comput. Ind. Eng., 2023)

A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling. - Haizhu Bao; Quanke Pan; Rubén Ruiz; Liang Gao 001 (Swarm Evol. Comput., 2023)