Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems

摘要

In this work, we deal with obtaining efficient solutions for stochastic multiobjectiveudprogramming problems. In general, these solutions are obtained in two stages: in one of them,udthe stochastic problem is transformed into its equivalent deterministic problem, and in the otherudone, some of the existing generating techniques in multiobjective programming are applied toudobtain efficient solutions, which involves transforming the multiobjective problem into audproblem with only one objective function. Our aim is to determine whether the order in whichudthese two transformations are carried out influences, in any way, the efficient solution obtained.udOur results show that depending on the type of stochastic criterion followed and the statisticaludcharacteristics of the initial problem, the order can have an influence on the final set of efficientudsolutions obtained for a given problem.