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)

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

        # COMPUTATION core
        idx = (x * self.arrxopt) > 0
        x[idx] = self.alpha * x[idx]
        ftrue = monotoneTFosc(np.sum(x**2, -1)) ** .9
        fval = self.noise(ftrue)

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