Multi-objective optimization techniques allow finding out compromise solutions aimed at achieving multiple objectives. These solutions are characterized by offering, for each objective, the best possible result without harming others' interests and therefore, from the negotiation standpoint, they are the most efficient aggreement alternative.

Typically, multi-objective optimization produces a more or less large set of compromise solutions that, once analyzed, allows balancing trade-offs between interests, and inferring their degree of alignment.

We have developed our methods to delimitate the regions of greatest convergence among multiple interests, thus focusing the analysis on the scope of what is acceptable, and allowing to dismiss unrealistic expectations.