has been cited by the following article(s):
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[1]
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A multi-population evolutionary algorithm for multi-objective constrained portfolio optimization problem
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Artificial Intelligence Review,
2023 |
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[2]
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Taylor's law of fluctuation scaling for semivariances and higher moments of heavy-tailed data
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Proceedings of the …,
2021 |
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[3]
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Risk-Based Portfolio Construction for Retail Investors
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2020 |
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[4]
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Exploring the behaviour of actively managed, maximally diversified portfolios
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2020 |
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[5]
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Influential Article Review–Improved NSGA-II And SPEA 2 Portfolio Optimization
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Journal of Accounting and …,
2019 |
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[6]
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Portfolio optimization by improved NSGA-II and SPEA 2 based on different risk measures
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2019 |
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[7]
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Optimización multiobjetivo para la selección de carteras a la luz de la teoría de la credibilidad: Una aplicación en el mercado integrado latinoamericano
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2019 |
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[8]
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Influential Article Review-Improved NSGA-II And SPEA 2 Portfolio Optimization
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2019 |
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[9]
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OPTIMIZACIÓN MULTIOBJETIVO PARA LA SELECCIÓN DE CARTERAS A LA LUZ DE LA TEORÍA DE LA CREDIBILIDAD: UNA APLICACIÓN EN EL MERCADO …
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2018 |
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[10]
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Examining the Performance of Three Multiobjective Evolutionary Algorithms Based on Benchmarking Problems
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International Journal of Computer and Information Engineering,
2017 |
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[11]
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Examining the effect of different configuration issues of the multiobjective evolutionary algorithms on the efficient frontier formulation for the constrained portfolio …
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Linear and Multilinear Algebra,
2017 |
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[12]
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Do oral decongestants have a clinically significant effect on BP in patients with hypertension?
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Rodriguez, HL Montjoy,
2017 |
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[13]
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Examining the effect of different configuration issues of the multiobjective evolutionary algorithms on the efficient frontier formulation for the constrained …
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Journal of the Operational Research Society,
2016 |
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[14]
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Novel multiobjective evolutionary algorithm approaches with applications in the constrained portfolio optimization
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2015 |
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[15]
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Efficient Portfolio Construction with the Use of Multiobjective Evolutionary Algorithms: Best Practices and Performance Metrics
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International Journal of Information Technology & Decision Making,
2015 |
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[16]
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Advanced Technologies and Algorithms for Efficient Portfolio Selection
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World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic and Management Engineering,
2015 |
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[17]
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A New Fitness Guided Crossover Operator and Its Application for Solving the Constrained Portfolio Selection Problem
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Multiple Criteria Decision Making in Finance, Insurance and Investment,
2015 |
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[18]
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Genetic Algorithm-Based Portfolio Optimisation Strategy for Passive Funds: Evidence from India
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[1]
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A multi-population evolutionary algorithm for multi-objective constrained portfolio optimization problem
Artificial Intelligence Review,
2023
DOI:10.1007/s10462-023-10604-2
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[2]
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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
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[3]
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Exploring the Behaviour of Actively Managed, Maximally Diversified Portfolios
Studies in Economics and Econometrics,
2020
DOI:10.1080/10800379.2020.12097362
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[4]
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Portfolio optimization by improved NSGA-II and SPEA 2 based on different risk measures
Financial Innovation,
2019
DOI:10.1186/s40854-019-0140-6
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[5]
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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
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[6]
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Multiple Criteria Decision Making in Finance, Insurance and Investment
2015
DOI:10.1007/978-3-319-21158-9_8
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[7]
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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
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