Abstract of doctoral thesis - Nikolaos Giamarelos

"Optimization and modeling of dynamic systems using pattern recognition and metaheuristic methods"

Machine Learning (ML) is a scientific discipline  of Computational Intelligence that is used in a wide range of applications such as pattern recognition and decision making. In recent years, machine learning techniques have been implemented to optimize systems on many levels. Machine learning techniques are applied in numerous fields in order to simulate and to solve problems such as energy consumption and big data analysis. The purpose of the PhD thesis is to study, develop and implement machine learning algorithms in modeling and prediction of time series.

Analysis of the subject of the Ph.D. thesis, provides the following research issues: