Details

Autor(en) / Beteiligte

• Shu-Chuan Chu, Shu-Chuan Chu
• Shu-Chuan Chu, Qing Feng
• Qing Feng, Jia Zhao
• Jia Zhao, Jeng-Shyang Pan

Titel

BFGO: Bamboo Forest Growth Optimization Algorithm

Ist Teil von

• Wangji Wanglu Jishu Xuekan = Journal of Internet Technology, 2023-01, Vol.24 (1), p.1-10

Ort / Verlag

Hualien: National Dong Hwa University, Computer Center

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The heuristic optimization algorithm is a popular optimization method for solving optimization problems. However, the main disadvantage of this type of algorithm is the unstable performance, and the performance depends on the specific problem and the designer’s experience, so inappropriate algorithms or parameters will lead to poor performance for solving optimization. In this paper, a new meta-heuristic algorithm-bamboo forest growth optimization (BFGO) algorithm is proposed. The BFGO algorithm refers to the growth law of bamboo: first, take root clearly, and then grow wildly. The growth characteristics of bamboo forests and the optimization process of the algorithm are integrated, and the test is carried out on 30 functions of the CEC2017 test set, and the algorithm is applied to four classical problems of engineering optimization. Compared with well-known heuristic algorithms, the BFGO algorithm has better performance.