The Technical University of Crete (TUC), proud member of the European University on Responsible Consumption and Production (EURECA-PRO), organizes a series of open scientific lectures in the context of faculty exchange visits.
The next lecture of the series will be delivered by Dr. Adam Długosz, Associate Professor at the Department of Computational Mechanics and Engineering, Faculty of Mechanical Engineering, Silesian University of Technology (SUT), Poland, one of the partner universities in EURECA-PRO. Dr. Długosz will be visiting TUC for the whole week starting the 20th of April 2026, meeting members of TUC Faculty and Staff. Dr. Długosz is visiting TUC with the support of EURECA-PRO TUC.
Prof. Długosz's lecture is titled:
"Selected Aspects of Multicriteria Optimization Problems
in Mechanical Engineering using Metaheuristic Algorithms"
and is scheduled to take place on
Wednesday, April 22, 2026 at 13:30 EET (12:30 CET)
and can be attended either physically or virtually:
Room K2.A1 "Panagiotis Manolopoulos" (School of CEE @ TUC Campus)
https://tuc-gr.zoom.us/j/91205761164?pwd=uDZrhimZXsb12AG8bRckETJnUOshaa.1
The lecture is open to all interested members of TUC and EURECA-PRO.
Abstract
During the lecture, the developed methods and algorithms of multicriteria optimization using metaheuristic algorithms for selected topics in mechanical engineering will be presented. It will cover the performance of the developed methods and their practical applications, such as in the optimization of composite structures, MEMS systems, and others. The optimization criteria are determined by solving appropriate boundary value problems using the finite element method (FEM). A brief overview of the coupling of FEM software and the optimization algorithms used will also be presented.
Short Bio
Dr. Adam Długosz (PhD Eng.) is an Associate Professor with the Department of Computational Mechanics and Engineering in the Faculty of Mechanical Engineering at the Silesian University of Technology in Gliwice, Poland. His academic interests focus on multi-criteria optimization, metaheuristic optimization methods, numerical modeling of coupled problems and application of CAE systems in identification and optimization tasks.