Method for determining a robust optimum of a physical or chemical process according to a Bayesian optimization method, wherein each measurement point of known measurement points has an input parameter value of a physical or chemical process and a measured output parameter value assigned to the input parameter value, and wherein a first statistical model describes the relationship between the input parameter values and the output parameter values of the physical or chemical process, the method comprising: • determining a second statistical model for the first statistical model, wherein the second statistical model describes a robustness for the output parameter values of the physical or chemical process in relation to a change in the input parameter values; • wherein a new measurement point is selected in such a way that a difference between ∘ an entropy of the first statistical model described by the known measurement points for the physical or chemical process at the new measurement point and ∘ an expected value of an entropy of the first statistical model described by the known measurement points at the new measurement point with a conditioning on an assumed maximum value of the output parameter of the second statistical model at the robust optimum to be determined of the physical or chemical process is substantially maximal or lies in a predefined range surrounding the maximum; • measuring the output parameter value assigned to the input parameter value of the new measurement point; • adapting the first statistical model using the new measurement point; • determining the robust optimum of the adapted first statistical model; and • wherein the adapted first statistical model describes the physical or chemical process with respect to the known measurement points and the new measurement point; • wherein determining the robust optimum of the first statistical model comprises: ∘ determining an adapted second statistical model for the adapted first statistical model; and ∘ determining a global maximum of the adapted second statistical model, wherein the input parameter value of the global maximum of the second statistical model corresponds to the input parameter value of the robust optimum of the first statistical model; and • controlling the physical or chemical process, wherein the input parameter value of the physical or chemical process is chosen as a function of the input parameter value of the robust optimum. • determining a second statistical model for the first statistical model, wherein the second statistical model describes a robustness for the output parameter values of the physical or chemical process in relation to a change in the input parameter values; • wherein a new measurement point is selected in such a way that a difference between ∘ an entropy of the first statistical model described by the known measurement points for the physical or chemical process at the new measurement point and ∘ an expected value of an entropy of the first statistical model described by the known measurement points at the new measurement point with a conditioning on an assumed maximum value of the output parameter of the second statistical model at the robust optimum to be determined of the physical or chemical process is substantially maximal or lies in a predefined range surrounding the maximum; ∘ an entropy of the first statistical model described by the known measurement points for the physical or chemical process at the new measurement point and ∘ an expected value of an entropy of the first statistical model described by the known measurement points at the new measurement point with a conditioning on an assumed maximum value of the output parameter of the second statistical model at the robust optimum to be determined of the physical or chemical process is substantially maximal or lies in a predefined range surrounding the maximum; • measuring the output parameter value assigned to the input parameter value of the new measurement point; • adapting the first statistical model using the new measurement point; • determining the robust optimum of the adapted first statistical model; and • wherein the adapted first statistical model describes the physical or chemical process with respect to the known measurement points and the new measurement point; • wherein determining the robust optimum of the first statistical model comprises: ∘ determining an adapted second statistical model for the adapted first statistical model; and ∘ determining a global maximum of the adapted second statistical model, wherein the input parameter value of the global maximum of the second statistical model corresponds to the input parameter value of the robust optimum of the first statistical model; and ∘ determining an adapted second statistical model for the adapted first statistical model; and ∘ determining a global maximum of the adapted second statistical model, wherein the input parameter value of the global maximum of the second statistical model corresponds to the input parameter value of the robust optimum of the first statistical model; and • controlling the physical or chemical process, wherein the input parameter value of the physical or chemical process is chosen as a function of the input parameter value of the robust optimum.