Konstantinos Liagkouras

发表

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

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

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..

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).

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..

A Comparative Study of Intelligent Techniques for Modern Portfolio Management

Konstantinos Liagkouras, Konstantinos Metaxiotis, 2012, IJCCI.

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..

Multiobjective Evolutionary Algorithms for Portfolio Management: A comprehensive literature review

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

An Experimental Analysis of a New Interval-Based Mutation Operator

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

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

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

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 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).

Incorporating environmental and social considerations into the portfolio optimization process

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

Stock Market Forecasting by Using Support Vector Machines

Kostas S. Metaxiotis, Konstantinos Liagkouras, K. Metaxiotis, 2020 .

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..

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

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

Improving Multi-objective Algorithms Performance by Emulating Behaviors from the Human Social Analogue in Candidate Solutions

Konstantinos Liagkouras, Konstantinos Metaxiotis, 2020 .

Advanced Technologies and Algorithms for Efficient Portfolio Selection

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

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..

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..

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

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