%0 Journal Article
%T Aplicaci車n de metaheur赤sticas multiobjetivo a la soluci車n de problemas de cartera de proyectos p迆blicos con una valoraci車n multidimensional de su impacto
%A Fern芍ndez Gonz芍lez
%A Eduardo
%A L車pez Cervantes
%A Edy
%A Navarro Castillo
%A Jorge
%A Vega L車pez
%A In谷s
%J Gesti車n y pol赤tica p迆blica
%D 2011
%I Centro de Investigaci車n y Docencia Econ車micas
%X this paper is devoted to the problem of allocating public funds to competing programs, projects or policies. under a subjective approach, we apply multi-criteria analysis to define the concept of highest social portfolio return. this concept is modeled as the best compromise solution of a 0-1 multi-objective optimization problem. often powerful metaheuristics are required for solving real size problems, but with many objectives evolutionary algorithms are also inefficient. such difficulty is overcome using a new method which incorporates decision-maker's preferences to the evolutionary search. we used a model based on a binary fuzzy outranking relation provided by electree methods for multi-criteria decision making. the proposal is examined through real size problems, in which good solutions are reached; examples illustrating the case of basic research project portfolios and social action program portfolios are shown here.
%K public portfolio selection
%K multi-objective optimization
%K evolutionary algorithm
%K fuzzy outranking relations.
%U http://www.scielo.org.mx/scielo.php?script=sci_abstract&pid=S1405-10792011000200005&lng=en&nrm=iso&tlng=en