提出一种新的全局优化方法——三角旋回算法(Triangle Gyration A lgorithm,简称TGA),认为该算法具有结构简单、鲁棒性强和快速收敛的特点。算法的寻优过程采用历史最优目标函数值进行指导,利用三角变换进行迭代使其能够快速收敛到全局最优。用一个典型的算例对三角旋回算法进行了性能分析,且将该算法应用在水火电力系统短期(日前现货市场)协调优化调度中,得出的结论是该算法综合性能优越,在优化方法领域具有广阔的应用前景。
A new global optimization method, Triangle Gyration Algorithm (TGA), is proposed which has the advantages of simple structure, strong robustness, and quick convergence. The search process of the algorithm is guided by the best objective function value and transformed by the trigonometric function, which ensures that the whole process can converge at the global optimal points quickly. An algorithm example was used to analyze the performance of TGA which was then applied to short-term scheduling of hydrothermal systems. With advantageous performance, the algorithm has a promising application prospect in optimization.