Project Ranking-Based Portfolio Selection Using Evolutionary Multiobjective Optimization of a Vector Proxy Impact Measure
- 10.2991/.2013.28How to use a DOI?
- Project portfolio selection; Multi-objective optimization; Multi-criteria analysis
Selecting project portfolios Decision-Maker usually starts with limited information about projects and portfo-lios. One of the challenges involved in analyzing, search-ing and selecting the best portfolio is having a method to evaluate the impact of every project and portfolio in order to compare them. This paper develops a model for composing public-oriented project portfolios. Information concerning the quality of the projects is in the form of a project-ranking, which can be obtained by the application of a proper mul-ti-criteria method; however the ranking does not assume an appropriate evaluation. A best portfolio is primarily found through a multi-objective optimization that regards the impact indicators that reflect the quality of the pro-jects in the portfolio and competent portfolios’ cardinali-ties. Overall good solutions are obtained by developing an evolutionary method, which is found to perform well in some test examples.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - S. Samantha Bastiani AU - Laura Cruz AU - Eduardo Fernandez AU - Claudia Gómez AU - Victoria Ruiz PY - 2013/10 DA - 2013/10 TI - Project Ranking-Based Portfolio Selection Using Evolutionary Multiobjective Optimization of a Vector Proxy Impact Measure BT - Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support PB - Atlantis Press SP - 232 EP - 240 SN - 1951-6851 UR - https://doi.org/10.2991/.2013.28 DO - 10.2991/.2013.28 ID - Bastiani2013/10 ER -