No. Simulink® Design Optimization™ software automatically normalizes constraints, design requirement and response data.
The optimization problem you formulated might be nonsmooth. This means that small parameter changes have no effect on the amount by which response signals satisfy or violate the constraints and only large changes will make a difference. Try switching to a search-based method such as simplex search or pattern search. Alternatively, look for initial guesses outside of the dead zone where parameter changes have no effect. If you are optimizing the response of a Simulink model, you could also try removing nonlinear blocks such as Quantizer or Dead Zone.
When optimizing a Simulink model, certain parameter combinations
can make the simulation stall for models with strong nonlinearities
or frequent mode switching. In these cases, the ODE solvers take smaller
and smaller step sizes. Stalling can also occur when the model's ODEs
become too stiff for some parameter combinations. A symptom of this
behavior is when the Simulink model status is
clicking the Stop button fails to interrupt
the optimization. When this happens, you can try one of the following
Switch to a different ODE solver, especially one of the stiff solvers.
Specify a minimum step size.
Disable zero crossing detection if chattering is occurring.
Tighten the lower and upper bounds on parameters that cause simulation difficulties. In particular, eliminate regions of the parameter space where some model assumptions are invalid and the model behavior can become erratic.