Intelligent optimization of social projects portfolios for minorities in Chihuahua via evolutive computing

Abstract

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 that can be received is overwhelming, as it is very unlikely that the most necessary budget can be granted. In addition, strategic approaches (political and ideological) permeate the decision-making of such assignments. To meet these regulatory criteria, underlying any prevailing public policy or government ideology, it is clear that both must be appropriate to prioritize development projects and project portfolios, these must be consistent with rational principles (eg, maximizing social benefits). As using bioinspired computation (in this case Firefly Algorithm) can be characterized as follows: They can be certainly profitable, but its benefits are indirect, perhaps long term can only be visible and difficult to quantify. Aside from their potential economic contribution to social welfare, are not intangible benefits, which must be considered to achieve a holistic view of their social impact. Equity in relation to the magnitude of the impact of projects and social conditions of the beneficiaries, should also be considered. In the present investigation we have developed an approach to the problem using intelligent optimization for the four minority Chihuahua: Rar´amuris, Mennonites, Mormons and Immigrants Federation.