Uma análise de múltiplos critérios do Problema de Roteamento de Veículos usando o AEMMT.

The following work presents a resolution of the Vehicle RoutingProblem, focusing on fuel distribution, using Evolutionary Algorithms,which is a bio-inspired Artificial Intelligence technique. Thestudy examines the behavior of a monoobjective version comparedto the ‘MultiObjective Evolutionary Algorithm with Many Tables’(AEMMT, in portuguese), which operates simultaneously with differentsubpopulations, where each one is dedicated to minimizing aspecific objective function. Therefore, the objective is to determinewhich of the two produces the best results when considering severalfactors such as distance, time and fuel. As a result, in this work theversion algorithm with many objectives proved to be superior to thesingle-objective version in relation to the value of the improvementbrought, especially analyzing the evolutionary behavior of eachcriterion.