We are carrying out parameter estimation of Bergmann minimal model. At this point of time, we have selected Non-Linear Least square method as an estimation routine with constraints on parameters (i.e. having upper and lower bound). What is the basis or logic of selecting constraints on parameters, because parameters cannot be left free, as they can give any random or unrealistic value with good fitness value.