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Applied Computational Intelligence and Soft Computing
Volume 2013 (2013), Article ID 891781, 13 pages
Research Article

Public Project Portfolio Optimization under a Participatory Paradigm

1Faculty of Engineering, Autonomous University of Sinaloa, Angel Flores s/n Centro, 80000 Culiaćan, SIN, Mexico
2Faculty of Mathematic and Physic Sciences, Autonomous University of Sinaloa, Angel Flores s/n Centro, 80000 Culiaćan, SIN, Mexico

Received 30 May 2012; Revised 4 October 2012; Accepted 12 October 2012

Academic Editor: Qingfu Zhang

Copyright © 2013 Eduardo Fernandez and Rafael Olmedo. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A new democracy paradigm is emerging through participatory budgeting exercises, which can be defined 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 identified and they are likely to be reflected 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. This work proposes two procedures for optimizing the portfolio of public actions with the information stemming from the citizen participatory exercise. The 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. The proposal performs very well in solving two real-size examples.