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Selecting Large Portfolios of Social Projects in Public Organizations
Author(s) -
Igor Litvinchev,
Fernando López,
Nancy M. ArratiaMartinez,
José Antonio Marmolejo-Saucedo
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/654293
Subject(s) - interdependence , portfolio , project portfolio management , selection (genetic algorithm) , interval (graph theory) , integer programming , linear programming , scale (ratio) , computer science , integer (computer science) , resource (disambiguation) , operations research , business , resource allocation , mathematical optimization , economics , management science , mathematics , finance , project management , political science , management , artificial intelligence , computer network , physics , combinatorics , quantum mechanics , law , programming language
We address the portfolio selection of social projects in public organizations considering interdependencies (synergies) affecting project funds requirements and tasks. A mixed integer linear programming model is proposed incorporating the most relevant aspects of the problem found in the literature. The model supports both complete (all or nothing) and partial (a certain amount from a given interval of funding) resource allocation policies. Numerical results for large-scale problem instances are presented

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