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David Pinto Avendaño ; Jorge A. Ruiz-Vanoye ; José Espinosa Rosales ; Elías Olivares Benitez ;International Journal of Combinatorial Optimization Problems and Informatics 2012, 3 1

Author: María Beatríz Bernábe Loranca

Source: http://www.redalyc.org/articulo.oa?id=265224466007


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International Journal of Combinatorial Optimization Problems and Informatics E-ISSN: 2007-1558 editor@ijcopi.org International Journal of Combinatorial Optimization Problems and Informatics México Bernábe Loranca, María Beatríz; Pinto Avendaño, David; Ruiz-Vanoye, Jorge A.; Espinosa Rosales, José; Olivares Benitez, Elías A multi-objective proposal for the aggregation of economically inactive population International Journal of Combinatorial Optimization Problems and Informatics, vol.
3, núm.
1, eneroabril, 2012, pp.
70-79 International Journal of Combinatorial Optimization Problems and Informatics Morelos, México Available in: http:--www.redalyc.org-articulo.oa?id=265224466007 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative © International Journal of Combinatorial Optimization Problems and Informatics, Vol.
3, No.
1, Jan-April 2012, pp.
70-79.
ISSN: 2007-1558. A multi-objective proposal for the aggregation of economically inactive population María Beatríz Bernábe Loranca1,2, David Pinto Avendaño2, Jorge A.
Ruiz-Vanoye1, José Espinosa Rosales2, Elías Olivares Benitez1 1 Universidad Popular Autónoma del Estado de Puebla UPAEP. 2 Benemérita Universidad Autónoma de Puebla BUAP. beatriz.bernabe@gmail.com Abstract.
As part of the process to support decision making in population problems, with the aim of promoting the selection of projects with funding support for the sector of the economically inactive population, in this paper a custom multi-objective method was applied to produce a set of efficient solutions that correspond to the selection of the best grouping of geographical zones to attend those population sectors without economic activity.
Each answer is a partition of geographic zones that meet geometric comp...





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