Is common use Heuristics (Pareto Front) when you have NP-Hard problems. Likewise, when you have multi-objective problems people often use heuristics.

I have heard which if you want to model (linear programming or non-linear programming) a problem with two objectives you should establish an objective function as a restriction or should divide two functions to get a new function and then, working as a mono-objective problem.

When you have two objectives you will get non-dominated solutions the most cases (obviously with an algorithm, e.g. NSGA II). But what happens if you don't have heuristics and instead you have a mathematical model?. Is possible to get the best Pareto front using mathematical modeling?

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