中文说明：这是一个演示为 2D 功能 ；对于更高的维度，您应该使用 fa_ndim.m 或 fa_mincon.m 参数选择： 伽马应与尺度。否则，足总的效率会显著降低是因为 beta 术语可能太小。 同样，阿尔法也应该被连接具鳞片，步骤应该不太大或太小，经常 步骤是大约 1/10 到 1/100 的域大小。 此外，应逐渐降低 α u星 α = alpha_0 三角洲 ^ t eteration t 期间。 通常情况下，三角洲 = 0.9 至 0.99 将是一个不错的选择。
English Description：
This is a demo for 2D functions; for higher dimenions, you should use fa_ndim.m or fa_mincon.m Parameters choice: Gamma should be linked with scales. Otherwise, the FA the efficiency will be significantly reduced because the beta term may be too small. Similarly, alpha should also be linked with scales, the steps should not too large or too small, often steps are about 1/10 to 1/100 of the domain size. In addition, alpha should be reduced gradually using alpha=alpha_0 delta^t during eteration t