Learning to anticipate flexible choices in multiple criteria decision-making under uncertainty

CRB Azevedo, FJ Von Zuben - IEEE transactions on …, 2015 - ieeexplore.ieee.org
In several applications, a solution must be selected from a set of tradeoff alternatives for
operating in dynamic and noisy environments. In this paper, such multicriteria decision …

Portfolio implementation risk management using evolutionary multiobjective optimization

D Quintana, R Denysiuk, S Garcia-Rodriguez… - Applied Sciences, 2017 - mdpi.com
Portfolio management based on mean-variance portfolio optimization is subject to different
sources of uncertainty. In addition to those related to the quality of parameter estimates used …

Resampled efficient frontier integration for moeas

D Quintana, D Moreno - Entropy, 2021 - mdpi.com
Mean-variance portfolio optimization is subject to estimation errors for asset returns and
covariances. The search for robust solutions has been traditionally tackled using resampling …

Different length genetic algorithm-based clustering of Indian stocks for portfolio optimization

S Mukhopadhyay, TD Chaudhuri - Advances in intelligent computing, 2019 - Springer
In this chapter, we propose a model for portfolio construction using different length genetic
algorithm (GA)-based clustering of Indian stocks. First, stocks of different companies, chosen …

The art of anticipatory decision making

AMJ Skulimowski - … , Information and Creativity Support Systems: Selected …, 2016 - Springer
This paper presents the recent advances of the theory of anticipatory networks and its
applications in future-oriented decision-making. Anticipatory networks generalize earlier …

[PDF][PDF] Anticipation in multiple criteria decision-making under uncertainty

CRB Azevedo - 2014 - academia.edu
Anticipation in Multiple Criteria Decision-Making Under Uncertainty Page 1 Anticipation in
Multiple Criteria Decision-Making Under Uncertainty Carlos Renato Belo Azevedo Advisor …