K. Liagkouras

发表

A new three-dimensional encoding multiobjective evolutionary algorithm with application to the portfolio optimization problem

Konstantinos Liagkouras, K. Liagkouras, 2019, Knowl. Based Syst..

Application of Customer Relationship Management Systems in Business: Challenges and Opportunities

K. Liagkouras, K. Metaxiotis, 2014 .

Novel multiobjective evolutionary algorithm approaches with application in the constrained portfolio optimization

K. Liagkouras, Κωνσταντίνος Λιαγκούρας, 2016 .

A new probe guided mutation operator for more efficient exploration of the search space: an experimental analysis

K. Liagkouras, K. Metaxiotis, 2016 .

An experimental analysis of a new two-stage crossover operator for multiobjective optimization

K. Liagkouras, K. Metaxiotis, 2015, Soft Computing.

Improving the performance of evolutionary algorithms: a new approach utilizing information from the evolutionary process and its application to the fuzzy portfolio optimization problem

K. Liagkouras, K. Metaxiotis, 2018, Annals of Operations Research.

Incorporating environmental and social considerations into the portfolio optimization process

K. Liagkouras, G. Tsihrintzis, K. Metaxiotis, 2020, Annals of Operations Research.

Incorporating environmental and social considerations into the portfolio optimization process

Kostas S. Metaxiotis, Konstantinos Liagkouras, G. Tsihrintzis, 2020, Ann. Oper. Res..

Multiobjective Evolutionary Algorithms for Portfolio Management: A comprehensive literature review

Konstantinos Liagkouras, Konstantinos Metaxiotis, K. Liagkouras, 2012, Expert Syst. Appl..

Examining the Performance of Three Multiobjective Evolutionary Algorithms Based on Benchmarking Problems

Konstantinos Liagkouras, Konstantinos Metaxiotis, K. Liagkouras, 2017 .

Enhancing the performance of MOEAs: an experimental presentation of a new fitness guided mutation operator

Kostas S. Metaxiotis, Konstantinos Liagkouras, K. Liagkouras, 2017, J. Exp. Theor. Artif. Intell..

Advanced Technologies and Algorithms for Efficient Portfolio Selection

Konstantinos Liagkouras, Konstantinos Metaxiotis, K. Liagkouras, 2015 .

An experimental analysis of a new two-stage crossover operator for multiobjective optimization

Kostas S. Metaxiotis, Konstantinos Liagkouras, K. Liagkouras, 2017, Soft Comput..

An Expert System Designed to Be Used with MOEAs for Efficient Portfolio Selection

K. Metaxiotis, K. Liagkouras, K. Liagkouras, 2014 .

Improving the performance of evolutionary algorithms: a new approach utilizing information from the evolutionary process and its application to the fuzzy portfolio optimization problem

Konstantinos Liagkouras, Konstantinos Metaxiotis, K. Liagkouras, 2019, Ann. Oper. Res..

Multi-period mean-variance fuzzy portfolio optimization model with transaction costs

Kostas S. Metaxiotis, Konstantinos Liagkouras, K. Liagkouras, 2018, Eng. Appl. Artif. Intell..

An Experimental Analysis of a New Interval-Based Mutation Operator

Konstantinos Liagkouras, Konstantinos Metaxiotis, K. Liagkouras, 2015, Int. J. Comput. Intell. Appl..

The Constrained Mean-Semivariance Portfolio Optimization Problem with the Support of a Novel Multiobjective Evolutionary Algorithm

K. Metaxiotis, K. Liagkouras, K. Liagkouras, 2013 .

Examining the effect of different configuration issues of the multiobjective evolutionary algorithms on the efficient frontier formulation for the constrained portfolio optimization problem

Konstantinos Liagkouras, Konstantinos Metaxiotis, K. Liagkouras, 2018, J. Oper. Res. Soc..

A new efficiently encoded multiobjective algorithm for the solution of the cardinality constrained portfolio optimization problem

Kostas S. Metaxiotis, Konstantinos Liagkouras, K. Liagkouras, 2018, Ann. Oper. Res..

An Elitist Polynomial Mutation Operator for Improved Performance of MOEAs in Computer Networks

Konstantinos Liagkouras, Konstantinos Metaxiotis, K. Liagkouras, 2013, 2013 22nd International Conference on Computer Communication and Networks (ICCCN).

Sources of Uncertainty and Risk Quantification Methods in Supply Chain Management: A Literature Study

K. Liagkouras, K. Metaxiotis, 2023, Operations Research Forum.

Handling the complexities of the multi-constrained portfolio optimization problem with the support of a novel MOEA

Konstantinos Liagkouras, Konstantinos Metaxiotis, K. Liagkouras, 2018, J. Oper. Res. Soc..

A new efficiently encoded multiobjective algorithm for the solution of the cardinality constrained portfolio optimization problem

K. Liagkouras, K. Metaxiotis, 2016, Annals of Operations Research.

Efficient Portfolio Construction with the Use of Multiobjective Evolutionary Algorithms: Best Practices and Performance Metrics

Konstantinos Liagkouras, Konstantinos Metaxiotis, K. Liagkouras, 2015, Int. J. Inf. Technol. Decis. Mak..

A new Probe Guided Mutation operator and its application for solving the cardinality constrained portfolio optimization problem

Konstantinos Liagkouras, Konstantinos Metaxiotis, K. Liagkouras, 2014, Expert Syst. Appl..

A fitness guided mutation operator for improved performance of MOEAs

Konstantinos Liagkouras, Konstantinos Metaxiotis, K. Liagkouras, 2013, 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS).