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)
        fadd = fadd + 5 * np.sum(np.abs(self.scales))

        # BOUNDARY HANDLING
        # move "too" good coordinates back into domain
        x = np.array(x) # convert x and make a copy of x.
        # The following may modify x directly.
        idx_out_of_bounds = (x * self.arrxopt) > 25 # 25 == 5 * 5
        x[idx_out_of_bounds] = sign(x[idx_out_of_bounds]) * 5

        # TRANSFORMATION IN SEARCH SPACE

        # COMPUTATION core
        ftrue = dot(x, self.scales)
        fval = self.noise(ftrue)

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