ACSBOA improves Secretary Bird Optimization Algorithm by introducing three key mechanisms: adaptive convergence control, cooperative predation, and hierarchical evasion. These mechanisms help the algorithm achieve a better balance between exploration and exploitation, avoid local optima, and improve optimization accuracy in high-dimensional and multimodal search spaces.
The algorithm has been tested on CEC 2017 and CEC 2022 benchmark suites and applied to several real-world engineering optimization problems, including UAV path planning, multi-robot coordination, multi-aircraft path planning, and wireless sensor network coverage optimization.
You can download the main paper here (Open access):https://doi.org/10.1016/j.rineng.2026.110968
引用格式
xiangkun (2026). ACSBOA (https://ww2.mathworks.cn/matlabcentral/fileexchange/182730-acsboa), MATLAB Central File Exchange. 检索时间: .
