A MILP bi-objective model for static portfolio selection of R\&D projects with synergies

DOI10.1134/S1064230711060165zbMath1276.93012OpenAlexW1974063601MaRDI QIDQ384673

H. J. Escalante, Miguel Mata, Fernando Lopez, Igor S. Litvinchev

Publication date: 28 November 2013

Published in: Journal of Computer and Systems Sciences International (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s1064230711060165

zbMATH Keywords

MILP modelportfolios with better qualitystatic portfolio selection

Mathematics Subject Classification ID

Related Items (4)

A clustering‐based review on project portfolio optimization methods ⋮ Selecting large portfolios of social projects in public organizations ⋮ Large scale portfolio selection with synergies ⋮ Combining multiple criteria analysis, mathematical programming and Monte Carlo simulation to tackle uncertainty in research and development project portfolio selection: a case study from Greece

Cites Work

• A multiobjective evolutionary approach for linearly constrained project selection under uncertainty
• Robust portfolio modeling with incomplete cost information and project interdependencies
• Solving a comprehensive model for multiobjective project portfolio selection
• Decision support system for multicriterial R\& D and information systems projects selection
• A genetic search for exploiting a fuzzy preference model of portfolio problems with public projects

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