bbobbenchmarks.py 文件源码

def _evalfull(self, x):
        fadd = self.fopt
        curshape, dim = self.shape_(x)
        # it is assumed x are row vectors

        if self.lastshape != curshape:
            self.initwithsize(curshape, dim)

        # BOUNDARY HANDLING

        # TRANSFORMATION IN SEARCH SPACE
        x = x - self.arrxopt # cannot be replaced with x -= arrxopt!
        x = dot(x, self.linearTF)

        # COMPUTATION core
        try:
            ftrue = x[:, 0] ** 2 + self.alpha * np.sqrt(np.sum(x[:, 1:] ** 2, -1))
        except IndexError:
            ftrue = x[0] ** 2 + self.alpha * np.sqrt(np.sum(x[1:] ** 2, -1))
        fval = self.noise(ftrue)

        # FINALIZE
        ftrue += fadd
        fval += fadd
        return fval, ftrue