cma_es_lib.py 文件源码

def typical_x(self, dim):
            off = self.rotate(np.floor(np.arange(0, 3, 3. / dim)) /
                          np.logspace(0, 1, dim), inverse=True)
            off[np.s_[3:]] += 0.005
            off[-1] *= 1e2
            off[0] /= 2.0e3 if off[0] > 0 else 1e3
            off[2] /= 3.01e4 if off[2] < 0 else 2e4
            return self._x_opt(dim) + off