In this article, a dynamic Principal–Agent model with discrete actions is analysed from a Multi-Objective optimization framework. As a result, a concave Pareto Frontier is numerically approximated. The concavity of the Pareto Frontier is a consequence of the information asymmetry between the...

The mixture design problem for two products concerns finding simultaneously two recipes of a blending problem with linear, quadratic and semi-continuity constraints. A solution of the blending problem minimizes a linear cost objective and an integer valued objective that keeps track of the...

We use Evolutionary Algorithms to approximate the Pareto frontier of a dynamic Principal-Agent model with discrete actions. The Pareto frontier that we obtain is concave, a result that is due to the asymmetry of information between the Principal and the Agent. As we move in the Pareto frontier...

In this paper we analyze a repeated Principal Agent model, formulated as a Multi-Objective Optimization problem. We approximate its Pareto Frontier by using a recently proposed Multi-Objective Optimization Evolutionary Algorithm named RankMOEA. We focus on the effects of changes of productivity...

In this paper we analyze a repeated Principal Agent model, formulated as a Multi-Objective Optimization problem. We approximate its Pareto Frontier by using a recently proposed Multi-Objective Optimization Evolutionary Algorithm named RankMOEA. We focus on the effects of changes of productivity...