Project Ranking-Based Portfolio Selection Using Evolutionary Multiobjective Optimization of a Vector Proxy Impact Measure

DOI

10.2991/.2013.28How to use a DOI?

Keywords

Project portfolio selection; Multi-objective optimization; Multi-criteria analysis

Abstract

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.

Copyright

© 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/).

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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  -