A clustering‐based review on project portfolio optimization methods-Reference-Cited by-同舟云学术

A clustering‐based review on project portfolio optimization methods

Published:2021-01-05 Issue:1 Volume:29 Page:172-199
ISSN:0969-6016
Container-title:International Transactions in Operational Research
language:en
Short-container-title:Intl. Trans. in Op. Res.

Author:

Saiz Miguel¹²^ORCID,Lostumbo Marisa A.¹²,Juan Angel A.¹^ORCID,Lopez‐Lopez David³

Affiliation:

1. IN3 – Computer Science Department Universitat Oberta de Catalunya Av. Carl Friedrich Gauss 5 Castelldefels 08860 Spain

2. Operations & Data Science Department EAE Business School C/Aragó 55 Barcelona 08015 Spain

3. General Management & Strategy Department ESADE Business School Av. de Pedralbes 60‐62 Barcelona 08034 Spain

Funder

Ministerio de Ciencia e Innovación

Publisher

Wiley

Subject

Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/itor.12933

Reference130 articles.

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2. April J. Glover F. Kelly J.P. Laguna M. 2003.Practical introduction to simulation optimization.Proceedings of the 2003 International Conference on Machine Learning and Cybernetics Xi'an pp.71–78.

3. An AHP (Analytic Hierarchy Process)/ANP (Analytic Network Process)-based multi-criteria decision approach for the selection of solar-thermal power plant investment projects

4. A goal-oriented approach based on fuzzy axiomatic design for sustainable mobility project selection

5. Optimization of multiple satisfaction levels in portfolio decision analysis

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