Department of Computational Mechanics and Engineering - RMT4 Faculty of Mechanical Engineering  

Scientific discipline

Mechanical engineering

Priority Research Area of the Silesian University of Technology

POB2 – Artificial Intelligence and Data Processing

Scientific activity

• doctoral degree in mechanical engineering, 2001
• habilitation degree in technical sciences in the field of mechanics, 2014

Research interests

• multi-criteria optimization
• metaheuristic optimization methods
• numerical modeling of coupled problems
• application of CAE systems in identification and optimization tasks

Selected papers

• Jarosz J., Długosz A., Shape optimization of the muffler shield with regard to strength properties , Engineering Transactions, 2023, vol. 71, no. 3, pp.351-366. DOI:10.24423/EngTrans.3093.20230727
• Długosz A., Schlieter T., A new multi-criteria global optimization method based on differential evolution and elements of game theory ,  W: Artificial intelligence and data processing. The monograph presenting the achievements of the Silesian University of Technology research staff / Kasprowski Paweł (red.), 2022, Politechnika Śląska, s.242-250, ISBN 978-83-7880-859-6
• Multiobjective optimiaztion of microstructure parameters in a thermoelastic porous material by means of differential evolution and elements of game theory. Długosz A., Schlieter T., Computer Methods in Materials Science, 22(3), 89-96, 2022. https://doi.org/10.7494/cmms.2022.3.0784
• Długosz A., Pokorska I., Glinicki M.A., Jaskulski R., Evolutionary identification method for determining thermophysical parameters of hardening concrete, Archives of Civil and Mechanical Engineering, 21;35(2021):553–564. https://doi.org/10.1007/s43452-020-00154-7

• Beluch W., Długosz A., Multiobjective global optimization of mechanical systems with cracks, Journal of Theoretical and Applied Mechanics, 2020;58(2):553–564. https://doi.org/10.15632/jtam-pl/119092
• Długosz A., Schlieter T., Evolutionary identification of microstructure parameters in the thermoelastic porous material, Journal of Theoretical and Applied Mechanics, 2020;58(2):373–384. https://doi.org/10.15632/jtam-pl/116802
• Burczynski, T., Kuś, W., Beluch, W., Długosz, A., Poteralski, A., Szczepanik, M., Intelligent Computing in Optimal Design , Solid Mechanics and Its Applications, Series Volume 261, Springer International Publishing 2020. https://doi.org/10.1007/978-3-030-34161-9
• Długosz, A.; Jarosz, P.; Schlieter, T. Optimal Design of Electrothermal Microactuators for Many Criteria by Means of an Immune Game Theory Multiobjective Algorithm, Applied Sciences 2019, 9, 4654, https://doi.org/10.3390/app9214654
• Długosz A., Klimek W., The Optimal Design of UAV Wing Structure, Computer Methods in Mechanics (CMM2017), American Institute of Physics Conf. Proc. 1922, 120009-1–120009-8; Published by AIP Publishing, 2018.
• Długosz A., Schlieter T., Multiobjective Optimization of 3D Porous Thermoelastic Structures, Computer Methods in Mechanics (CMM2017), American Institute of Physics Conf. Proc. 1922, 030007-1–030007-8; Published by AIP Publishing, 2018.
• Długosz A., Pokorska I., Glinicki M.A., Jaskulski R. Identification of thermal properties of hardening concrete by means of evolutionary algorithms Computer Assisted Methods in Engineering and Science, Vol. 24, pp. 101–111, 2017.
• Długosz A., Klimek W.,  Multi-objective optimization of the UAV wing by means of evolutionary computations Mechanika 2016, Volume 22(6), pp. 530-536
• Beluch W., Długosz A.,   Multiobjective and multiscale optimization of composite materials by means of evolutionary computations Journal of Theoretical and Applied Mechanics, Vol. 52(2), pp. 397-409, 2016.
• Długosz A. Jarosz P. Multiobjective optimization of electrothermal microactuators by means of Immune Game Theory Multiobjective Algorithm. Advances in mechanics: theoretical, computational and interdisciplinary issues. Proceedings of the 3rd Polish Congress of Mechanics (PCM) and 21st International Conference on Computer Methods in Mechanics (CMM). Chapter 29, pp. 141-146, CRC Press/Balkema, 2016.
• Długosz A., Optimization in multiscale thermoelastic problems Computer Methods in Materials Science, vol.14, No.1, pp. 86-93, 2014.
• Długosz A. Burczyński T., Intelligent computing in optimization of coupled problems Computational Methods for Coupled Problems in Science and Engineering V Pages: 387-398, pp. 86-93, 2013.
• Długosz A., Burczyński T., Identification in multiscale thermoelastic problems, Computer Assisted Mechanics and Engineering Sciences, vol.20, No. 4, pp. 325-336, 2013 .
• Długosz A. Optymalizacja wielokryterialna w zagadnieniach pól sprzężonych, Monografia (497), Wydawnictwo Politechniki Śląskiej, 141 stron, 2013.
• Burczyński T., Długosz A., Multiobjective shape optimization of selected coupled problems by means of evolutionary algorithms, Bulletin of the Polish Academy of Sciences-Technical Sciences, Volume 60, Issue 2, pp. 215-222, 2012.
• Długosz A., Multiobjective Evolutionary Optimization of MEMS Structures, Computer Assisted Mechanics and Engineering Sciences 2010, Volume 17, No. 1, pp. 41-50, 2010.
• Białecki R., Burczyński T.; Długosz A., Kuś W., Ostrowski Z., Evolutionary shape optimization of thermoelastic bodies exchanging heat by convection and radiation, Computer Methods in Applied Mechanics and Engineering, Volume 194, Issue 17, pp. 1839-1859, 2005.
• Długosz A., Evolutionary computation in thermoelastic problems, IUTAM Symposium on Evolutionary Methods in Mechanics, Volume 117, pp. 69-80, 2004.
• Burczyński T., Długosz A., Evolutionary optimization in thermoelastic problems using the boundary element method, Computational Mechanics Volume 28, Issue 3-4, pp. 317-324, 2002.

Membership in scientific associations

• Member of ISSMO (International Society of Structural and Multidisciplinary Optimization)od roku 2010.
• Member of Polish Society for Theoretical and Applied Mechanics. science 2015.
• Member of Polish Association for Computational Mechanics (PACM), since 2002.

Supervisor of PhD theses::

• Joachim Jarosz, Shape and boundary conditions optimization of the selected part of the exhaust gas aftertreatment system, (2023)
• Tomasz Schlieter, Optimal Design of Mechanical Systems for Multiple Criteria by Means Of Soft Computing Methods, (2022)

Projects and grants

• Research project of the Ministry of Science and Higher Education No. N N519 313835 “Multidisciplinary and multi-criteria optimization of technical systems: methodology and computer applications”, 2008-2011, (principal investigator).
• Sonderforschungsbereich project No. 639, funded by the Deutsche Forschungsgemeinschaft, task: “Development of optimization algorithms of function-integrating components HGTT”, 2012, (contractor).
• NCBiR R&D project No. 0133/R/T00/2010/12 “Intelligent system for monitoring and controlling access to protected areas of an airport”, 2010-2013, (contractor).
• NCBIR R&D Project No. N R07 0006 10 “System for optimization of metal processing processes and production cycles”, 2011-2013, (contractor).
• Project “INTEREDU Interactive Engineer Education”. (Task: Strength of Materials) under the Human Capital Operational Program co-financed by the European Union under the European Social Fund, 2010-2011, (contractor).
• Research project of the Ministry of Science and Higher Education No. N N519 383836: “Optimization and identification in multiscale problems using intelligent systems”, 2009-2012, (contractor).
• Research project of the Ministry of Science and Higher Education No. N N501 216637: “Optimization of mechanical systems using swarm algorithms”, 2009-2012, (contractor).
• Research Project of the Ministry of Science and Higher Education No. N N507 448334: “Optimization and identification of composites using methods of intelligence, computational”, 2008-2011, (contractor).
• Research project of the Ministry of Science and Higher Education No. N N519 2976 33: “Immunological optimization of physical systems,” 2007-2010, (contractor).
• Research Project of the Ministry of Science and Higher Education No. 4573/T02/2007/33: “Application of granular calculations in machine design”, 2007-2009, (contractor).
• Research project of the Ministry of Science and Higher Education No. 3T11F 00929: “Application of computational grids in structural optimization”, 2005-2008, (contractor).
• Research project No. 4T11F00822: “Parallel and distributed evolutionary computation in optimal design and identification problems”, 2003-2005, (contractor).
• Research project of the Ministry of Science and Higher Education No. 4T07A 007 29: “Application of computational intelligence in optimization of material design”, 2005-2008, (contractor).
• Research project No8T10B04719: “Application of genetic algorithms for shape optimization of thermally elastic bodies in the presence of thermal radiation”, 2000-2003, (contractor).
• Research project 8T11F003 16: “Computer sensitivity analysis and evolutionary optimization of systems with geometric singularities”, 1999- 2001, (contractor).