Actas de congresos
A Grasp-based Heuristic For The Project Portfolio Selection Problem
Registro en:
9780769549149
Proceedings - 15th Ieee International Conference On Computational Science And Engineering, Cse 2012 And 10th Ieee/ifip International Conference On Embedded And Ubiquitous Computing, Euc 2012. , v. , n. , p. 36 - 41, 2012.
10.1109/ICCSE.2012.102
2-s2.0-84874088658
Autor
Mira C.
Feijao P.
Souza M.A.
Moura A.
Meidanis J.
Lima G.
Schmitz R.
Bossolan R.P.
Freitas I.T.
Institución
Resumen
The project portfolio selection (PPS) problem consists of constructing a project portfolio, that is, a selection of projects scheduled over a period of time using various, potentially conflicting, criteria and resource constraints. The PPS is a well-known problem, recurrently occurring in several applications, with a rich history of approaches for modeling it and a large number of techniques for solving it. In this work we present a model for the PPS problem based on a real-world situation of selection and scheduling of projects in the power generation industry. We also propose a heuristic, based on the metaheuristic GRASP, to solve the problem, and assess its quality and performance through computational experiments. We describe the implementation of a decision support system prototype for the PPS problem that uses the proposed heuristic and includes several usability features that may help decision makers through the selection process. © 2012 IEEE.
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