An Overall Characterization of the Project Portfolio Optimization Problem and an Approach Based on Evolutionary Algorithms to Address It

Fernández, Eduardo; Solares, Efrain; Coello, Carlos A. Coello; De-León-Gómez, Víctor

doi:10.1007/978-3-030-88315-7_4

Cited by 2 publications

(1 citation statement)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The preferences of the DM are then used to evaluate the projects such that each project can be assigned to preferentially ordered classes regarding some non-elementary criteria given by the DM. -Following the idea presented by Fernández et al (2022c), we use an interesting way of exploiting the preferences of the DM to transform a multi-objective optimization problem into a single-objective one, ensuring selective pressure towards the region of interest (the privileged zone in the Pareto frontier according to the preferences) . -At the final step, a canonical genetic algorithm is adapted to the specific characteristics of the addressed problem and the best overall portfolio is determined.…”

Section: Methodsmentioning

confidence: 99%

A new method to project portfolio selection with multiple interacting criteria hierarchically structured

Fernández

Solares

Navarro

et al. 2022

Proceedings of MOL2NET'22, Conference on Molecular, Biomedical &Amp; Computational Sciences and Engineering, 8th Ed. - MOL2NET:

View full text Add to dashboard Cite

Project portfolio selection is very complex. Often the multiple criteria used to assess projects are hierarchically structured and show interaction. Most of these criteria are also used at portfolio level to assess the supported projects as a whole; however, additional criteria must be considered to define the conformity of the decision maker with the portfolios. Here, we present a novel method to comprehensively address all the characteristics MOL2NET, 2022, 7,

show abstract

Section: Methodsmentioning

confidence: 99%

A new method to project portfolio selection with multiple interacting criteria hierarchically structured

Fernández

Solares

Navarro

et al. 2022

Proceedings of MOL2NET'22, Conference on Molecular, Biomedical &Amp; Computational Sciences and Engineering, 8th Ed. - MOL2NET:

View full text Add to dashboard Cite

show abstract

Model to Optimize the Management of Strategic Projects Using Genetic Algorithms in a Public Organization

et al. 2022

View full text Add to dashboard Cite

Public organizations lack adequate models and methods to efficiently support and manage processes related to information security and IT investments. The objective is to optimize the management of strategic projects planned to improve the information security of a public organization and make efficient use of its available resources. The deductive method and exploratory research were used to review and analyze the available information. A mathematical model resulted that optimizes two objectives: (1) minimizing the costs of the strategic projects to be executed, and (2) maximizing the percentage of improvement in the organization’s information security. According to the result of the simulation, a subset of planned strategic projects was obtained that allows improving the information security of a public organization from 84.64% to 92.20%, considering the budgetary limitations of the organization. It was concluded that the proposed model is efficient, practical and can be a support tool for the IT management of a public organization.

show abstract

An Overall Characterization of the Project Portfolio Optimization Problem and an Approach Based on Evolutionary Algorithms to Address It

Cited by 2 publications

References 57 publications

A new method to project portfolio selection with multiple interacting criteria hierarchically structured

A new method to project portfolio selection with multiple interacting criteria hierarchically structured

Model to Optimize the Management of Strategic Projects Using Genetic Algorithms in a Public Organization

Contact Info

Product

Resources

About