One of the most known combinatorial problem is a Travelling Salesman Problem. In this paper a extended version is considered – multisalesman problem, which is known in the literature as a vehicle routing problem. It is very easy to define this NP-hard problem, but to find a optimal solution is...

The evolutionary design of time series forecasters is a field that has been explored for several years now. In this paper, a complete design and training of ARMA (Auto-Regressive Moving Average) and ANN (Artificial Neural Networks) models through the use of Evolutionary Computation is presented....

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...

This paper reports on a decision support system for assigning a liver from a donor to a recipient on a waiting-list that maximises the probability of belonging to the survival graft class after a year of transplant and/or minimises the probability of belonging to the non-survival graft class in...

In this paper we address a ranking problem from a tender mechanism established by the Portuguese energy regulator to promote energy efficiency measures in electricity consumption. Measures candidates to this tender are subjected to previously known assessment rules, and weighted criteria. Our...