[1]
|
A multi-population evolutionary algorithm for multi-objective constrained portfolio optimization problem
Artificial Intelligence Review,
2023
DOI:10.1007/s10462-023-10604-2
|
|
|
[2]
|
Taylor’s law of fluctuation scaling for semivariances and higher moments of heavy-tailed data
Proceedings of the National Academy of Sciences,
2021
DOI:10.1073/pnas.2108031118
|
|
|
[3]
|
Exploring the Behaviour of Actively Managed, Maximally Diversified Portfolios
Studies in Economics and Econometrics,
2020
DOI:10.1080/10800379.2020.12097362
|
|
|
[4]
|
Portfolio optimization by improved NSGA-II and SPEA 2 based on different risk measures
Financial Innovation,
2019
DOI:10.1186/s40854-019-0140-6
|
|
|
[5]
|
Examining the effect of different configuration issues of the multiobjective evolutionary algorithms on the efficient frontier formulation for the constrained portfolio optimization problem
Journal of the Operational Research Society,
2018
DOI:10.1057/jors.2016.38
|
|
|
[6]
|
Multiple Criteria Decision Making in Finance, Insurance and Investment
2015
DOI:10.1007/978-3-319-21158-9_8
|
|
|
[7]
|
Efficient Portfolio Construction with the Use of Multiobjective Evolutionary Algorithms: Best Practices and Performance Metrics
International Journal of Information Technology & Decision Making,
2015
DOI:10.1142/S0219622015300013
|
|
|
[8]
|
Multiple Criteria Decision Making in Finance, Insurance and Investment
2015
DOI:10.1007/978-3-319-21158-9_8
|
|
|
[9]
|
Multiple Criteria Decision Making in Finance, Insurance and Investment
Multiple Criteria Decision Making,
2015
DOI:10.1007/978-3-319-21158-9_8
|
|
|