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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Panadero Martínez, Javier | - |
dc.contributor.author | Döering, Jana | - |
dc.contributor.author | Kizys, Renatas | - |
dc.contributor.author | Juan, Angel A. | - |
dc.contributor.author | Fitó-Bertran, Àngels | - |
dc.contributor.other | University of Portsmouth | - |
dc.contributor.other | Universitat Oberta de Catalunya (UOC) | - |
dc.date.accessioned | 2020-04-28T11:02:56Z | - |
dc.date.available | 2020-04-28T11:02:56Z | - |
dc.date.issued | 2018-02-14 | - |
dc.identifier.citation | Panadero, J., Doering, J., Kizys, R., Juan, A.A. & Fitó Bertran, A. (2020). A variable neighborhood search simheuristic for project portfolio selection under uncertainty. Journal of Heuristics, 26, 353-375. doi: 10.1007/s10732-018-9367-z | en |
dc.identifier.issn | 1381-1231MIAR | - |
dc.identifier.uri | http://hdl.handle.net/10609/113486 | - |
dc.description.abstract | With limited nancial resources, decision-makers in rms and governments face the task of selecting the best portfolio of projects to invest in. As the pool of project proposals increases and more realistic constraints are considered, the problem becomes NP-hard. Thus, metaheuristics have been employed for solving large instances of the project portfolio selection problem (PPSP). However, most of the existing works do not account for uncertainty. This paper contributes to close this gap by analyzing a stochastic version of the PPSP: the goal is to maximize the expected net present value of the inversion, while considering random cash ows and discount rates in future periods, as well as a rich set of constraints including the maximum risk allowed. To solve this stochastic PPSP, a simulation-optimization algorithm is introduced. Our approach integrates a variable neighborhood search metaheuristic with Monte Carlo simulation. A series of computational experiments contribute to validate our approach and illustrate how the solutions vary as the level of uncertainty increases. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Journal of Heuristics | - |
dc.relation.ispartof | Journal of Heuristics, 2020, 26 | - |
dc.relation.uri | https://link.springer.com/article/10.1007/s10732-018-9367-z | - |
dc.rights | CC BY-NC-ND | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | - |
dc.subject | project portfolio selection | en |
dc.subject | stochastic optimization | en |
dc.subject | net present value | en |
dc.subject | variable neighborhood search | en |
dc.subject | simheuristics | en |
dc.subject | selección de cartera de proyectos | es |
dc.subject | selecció de cartera de projectes | ca |
dc.subject | optimización estocástica | es |
dc.subject | optimització estocàstica | ca |
dc.subject | valor actual net | ca |
dc.subject | valor actual neto | es |
dc.subject | cerca de barris variable | ca |
dc.subject | búsqueda de vecindad variable | es |
dc.subject | simheuristics | ca |
dc.subject | simheuristics | es |
dc.subject.lcsh | Heuristic | en |
dc.title | A variable neighborhood search simheuristic for project portfolio selection under uncertainty | - |
dc.type | info:eu-repo/semantics/article | - |
dc.subject.lemac | Heurística | ca |
dc.subject.lcshes | Heurística | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.doi | 10.1007/s10732-018-9367-z | - |
dc.gir.id | AR/0000005477 | - |
dc.relation.projectID | info:eu-repo/grantAgreement/TRA2013-48180-C3-P | - |
dc.relation.projectID | info:eu-repo/grantAgreement/TRA2015-71883-REDT | - |
dc.relation.projectID | info:eu-repo/grantAgreement/20161ES01KA108023465 | - |
dc.type.version | info:eu-repo/semantics/acceptedVersion | - |
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