Use of Firefly Algorithm to optimize Social Projects to Minorities.
Alberto Ochoa, Alberto Hernández, Julio Ponce · 2012
A controversial theme and frequently in public policy analysis is the allocation of funds for projects of minority groups. Public resources to finance social projects of this type are particularly scarce. Very often the relationship between the requested budget and what can be received is overwhelming, as is very unlikely to be as necessary as that can be awarded. In addition, strategic approaches, political and ideological permeate the decision-making on such assignments. To meet these regulatory criteria, underlying any prevailing public policy or government ideology, is clear that both must be appropriate to prioritize the development projects and project portfolios, these must be consistent with principles sound (for example, maximization of social benefits). Computation using bioinspired algorithms (In this case Firefly Algorithm) can be characterized as follows: 1) They can be no doubt profitable, but its benefits are indirect, perhaps only in the long run may be visible and difficult to quantify; 2) Apart from its potential contribution to economic welfare, are not intangible benefits, which must be considered to achieve a holistic view of their social impact. 3) Equity in relation to the magnitude of the impact of projects and social conditions of the beneficiaries should also be considered. The present study was conducted using an approach to intelligent optimization problem for the four minority at State of Chihuahua, Mexico: Raramuris, Mennonites, Mormons and Immigrants of the Federation.