| Multiobjective evolutionary algorithms for portfolio management: A comprehensive literature review K Metaxiotis, K Liagkouras Expert systems with applications 39 (14), 11685-11698, 2012 | 241 | 2012 |
| Multi-period mean–variance fuzzy portfolio optimization model with transaction costs K Liagkouras, K Metaxiotis Engineering applications of artificial intelligence 67, 260-269, 2018 | 84 | 2018 |
| A new probe guided mutation operator and its application for solving the cardinality constrained portfolio optimization problem K Liagkouras, K Metaxiotis Expert Systems with Applications 41 (14), 6274-6290, 2014 | 68 | 2014 |
| Incorporating environmental and social considerations into the portfolio optimization process K Liagkouras, K Metaxiotis, G Tsihrintzis Annals of Operations Research, 1-26, 2022 | 56 | 2022 |
| A new three-dimensional encoding multiobjective evolutionary algorithm with application to the portfolio optimization problem K Liagkouras Knowledge-Based Systems 163, 186-203, 2019 | 52 | 2019 |
| Efficient portfolio construction with the use of multiobjective evolutionary algorithms: Best practices and performance metrics K Liagkouras, K Metaxiotis International Journal of Information Technology & Decision Making 14 (03 …, 2015 | 51 | 2015 |
| An elitist polynomial mutation operator for improved performance of moeas in computer networks K Liagkouras, K Metaxiotis 2013 22nd International Conference on Computer Communication and Networks …, 2013 | 50 | 2013 |
| A new efficiently encoded multiobjective algorithm for the solution of the cardinality constrained portfolio optimization problem K Liagkouras, K Metaxiotis Annals of Operations Research 267, 281-319, 2018 | 43 | 2018 |
| Handling the complexities of the multi-constrained portfolio optimization problem with the support of a novel MOEA K Liagkouras, K Metaxiotis Journal of the Operational Research Society 69 (10), 1609-1627, 2018 | 22 | 2018 |
| Examining the effect of different configuration issues of the multiobjective evolutionary algorithms on the efficient frontier formulation for the constrained portfolio … K Liagkouras, K Metaxiotis Journal of the Operational Research Society 69 (3), 416-438, 2018 | 22 | 2018 |
| Enhancing the performance of MOEAs: an experimental presentation of a new fitness guided mutation operator K Liagkouras, K Metaxiotis Journal of Experimental & Theoretical Artificial Intelligence 29 (1), 91-131, 2017 | 18 | 2017 |
| Application of customer relationship management systems in business: challenges and opportunities K Liagkouras, K Metaxiotis International Journal of Computer and Information Engineering 8 (6), 1642-1646, 2014 | 17 | 2014 |
| The constrained mean-semivariance portfolio optimization problem with the support of a novel multiobjective evolutionary algorithm K Liagkouras, K Metaxiotis Journal of Software Engineering and Applications 6 (7), 22-29, 2013 | 15 | 2013 |
| An experimental analysis of a new two-stage crossover operator for multiobjective optimization K Liagkouras, K Metaxiotis Soft computing 21, 721-751, 2017 | 13 | 2017 |
| A fitness guided mutation operator for improved performance of MOEAs K Metaxiotis, K Liagkouras 2013 IEEE 20th international conference on electronics, circuits, and …, 2013 | 10 | 2013 |
| Improving the performance of evolutionary algorithms: a new approach utilizing information from the evolutionary process and its application to the fuzzy portfolio optimization … K Liagkouras, K Metaxiotis Annals of Operations Research 272, 119-137, 2019 | 9 | 2019 |
| Stock market forecasting by using support vector machines K Liagkouras, K Metaxiotis Machine Learning Paradigms: Advances in Deep Learning-based Technological …, 2020 | 7 | 2020 |
| The current state of ERP systems in banking sector K Metaxiotis, K Liagkouras International Research Journal of Electronics and Computer Engineering 3 (1 …, 2017 | 7 | 2017 |
| An experimental analysis of a new interval-based mutation operator K Liagkouras, K Metaxiotis international journal of computational intelligence and applications 14 (03 …, 2015 | 7 | 2015 |
| A new probe guided mutation operator for more efficient exploration of the search space: An experimental analysis K Liagkouras, K Metaxiotis International Journal of Operational Research 25 (2), 212-251, 2016 | 5 | 2016 |
