RT Report
T1 Stochastic approach versus multiobjective approach for obtaining efficient solutions in stochastic multiobjective programming problems
A1 Caballero Fernández, Rafael
A1 Cerdá Tena, Emilio
A1 Muñoz Martos, María del Mar
A1 Rey, Lourdes
AB In this work, we deal with obtaining efficient solutions for stochastic multiobjectiveprogramming problems. In general, these solutions are obtained in two stages: in one of them,the stochastic problem is transformed into its equivalent deterministic problem, and in the otherone, some of the existing generating techniques in multiobjective programming are applied toobtain efficient solutions, which involves transforming the multiobjective problem into aproblem with only one objective function. Our aim is to determine whether the order in whichthese two transformations are carried out influences, in any way, the efficient solution obtained.Our results show that depending on the type of stochastic criterion followed and the statisticalcharacteristics of the initial problem, the order can have an influence on the final set of efficientsolutions obtained for a given problem.
PB Instituto Complutense de Análisis Económico. Universidad Complutense de Madrid
YR 2002
FD 2002-09
LK https://hdl.handle.net/20.500.14352/64507
UL https://hdl.handle.net/20.500.14352/64507
LA eng
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DS Docta Complutense
RD 7 may 2024