Public Portfolio Selection Combining Genetic Algorithms and Mathematical Decision Analysis

Fernández-González, Eduardo; Vega-López, Inés; Navarro-Castillo, Jorge

doi:10.5772/38121

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…As stated by Fernandez et al [5] and Fernandez-Gonzalez et al [6], the main difficulty for characterizing the "best public project portfolio� is �nding a mechanism to appropriately de�ne, evaluate, and compare social returns. �egardless of the varying de�nitions of the concept of social return, however, we can assert the tautological value of the following proposition.…”

Section: Finding the Best Portfolio Via Multiobjective Optimizationmentioning

confidence: 99%

Public Project Portfolio Optimization under a Participatory Paradigm

Fernández

Olmedo

2013

Applied Computational Intelligence and Soft Computing

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A new democracy paradigm is emerging through participatory budgeting exercises, which can be de�ned as a public space in which the government and the society agree on how to adapt the priorities of the citizenship to the public policy agenda. Although these priorities have been identi�ed and they are likely to be re�ected in a ranking of public policy actions, there is still a challenge of solving a portfolio problem of public projects that should implement the agreed agenda. is work proposes two procedures for optimizing the portfolio of public actions with the information stemming from the citizen participatory exercise. e selection of the method depends on the information about preferences collected from the participatory group. When the information is sufficient, the method behaves as an instrument of legitimate democracy. e proposal performs very well in solving two real-size examples.

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Section: Finding the Best Portfolio Via Multiobjective Optimizationmentioning

confidence: 99%