BFGO: Bamboo Forest Growth Optimization Algorithm

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 has better performance.

Automated summary

The heuristic optimization algorithm is a popular method for solving optimization problems, but it suffers from unstable performance which is heavily dependent on problem specifics and the designer's experience. In this paper, a new meta-heuristic algorithm called Bamboo Forest Growth Optimization (BFGO) is proposed. The BFGO algorithm incorporates the growth law of bamboo and the optimization process, showing better performance compared to other algorithms when applied to various optimization problems.