Policy optimization models are designed to determine the “best” climate policy as defined by an aggregated welfare function over time, possibly considering user-specified climatic constraints. Their complexity is severely limited by the numerical algorithms used to solve optimization problems. Furthermore, wide-ranging subjective assumptions are necessary to aggregate all consequences of alternative policies in a social welfare function to be maximized.