E-mail: pawel.myszkowski@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Systems and Computer Networks

pl. Grunwaldzki 9, 50-377 Wrocław
building D-2, room 201/2
phone +48 71 320 4217

Office hours

• Monday 11.00-13.00
• Tuesday 15.00-17.00

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Research fields

• metaheuristics; multiobjective optimisation; resource allocation problems

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Recent papers

2018

• Myszkowski P.B., Laszczyk M., Nikulin I. and Skowroński M.E. "iMOPSE: a library for bicriteria optimization in Multi–Skill Resource–Constrained Project Scheduling Problem", Soft Computing Journal, https://doi.org/10.1007/s00500-017-2997-5 
• Myszkowski P.B., Olech L.P., Laszczyk M. and Skowroński M.E. "Hybrid Differential Evolution and Greedy (DEGR) for Solving Multi–Skill Resource–Constrained Project Scheduling Problem", Applied Soft Computing, 2018, https://doi.org/10.1016/j.asoc.2017.10.014 

2017

• Myszkowski P.B., Laszczyk M. and Lichodij J. "Efficient selection operators in NSGA-II for Solving Bi-Objective Multi-Skill Resource-Constrained Project Scheduling Problem", Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 11, pages 83–86 (2017), DOI: http://dx.doi.org/10.15439/2017F317   

2015

• Myszkowski P., Skowroński M., Olech L., Oślizło K. "Hybrid Ant Colony Optimization in solving Multi–Skill Resource–Constrained Project Scheduling Problem", Soft Computing Journal, 2015, Volume 19, Issue 12, pp.3599–3619, DOI: 10.1007/s00500-014-1455-x.  
• Myszkowski P.B., Skowroński M., Sikora K., "A new benchmark dataset for Multi-Skill Resource-Constrained Project Scheduling Problem", Proceedings of the 2015 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 5, pages 129–138 (2015) , http://dx.doi.org/10.15439/2015F273 

Papers in DONA database

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Selected publications
1	Proceeding paper 2024 Michał Antkiewicz, Paweł Myszkowski, Konrad F Gmyrek, Adam Krzemiński, José Luis Calvo-Rolle, Efficiency of specialized genetic operators in Non-Dominated Tournament Genetic Algorithm (NTGA2) applied to Multi-objective Multi-skill Resource Constrained Project Scheduling Problem. W: Advances in Computational Collective Intelligence : 16th International Conference, ICCCI 2024 Leipzig, Germany, September 9–11, 2024 : proceedings. Pt. 2 / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2024. s. 97–110. ISBN: 978-3-031-70258-7; 978-3-031-70259-4 Resources:DOIURLSFX
2	Article 2024 Michał Antkiewicz, Paweł Myszkowski, Balancing Pareto Front exploration of Non-dominated Tournament Genetic Algorithm (B-NTGA) in solving multi-objective NP-hard problems with constraints. Information Sciences. 2024, vol. 677, art. 120400, s. 1-26. ISSN: 0020-0255; 1872-6291 Resources:DOISFX
3	Proceeding paper 2024 Konrad F Gmyrek, Michał Antkiewicz, Paweł Myszkowski, José Luis Calvo-Rolle, iMOPSE library for benchmarking Multi-Skill Resource-Constrained Project Scheduling Problem. W: Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024, August 27-30, 2024. Copenhagen: Technical University of Denmark, 2024. s. 110-124. ISBN: 978-0-9929984-6-2 Resources:URL
4	Proceeding paper 2024 Michał Antkiewicz, Paweł Myszkowski, Konrad F Gmyrek, Gene-level adaptation in Balanced Non-Dominated Tournament Genetic Algorithm (aB-NTGA) applied to versatile Multi-Stage Weapon-Target Assignment Problem. W: GECCO’24 Companion : Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion, July 14-18, 2024, Melbourne, Australia / ed. Julia Handl. New York : ACM, cop. 2024. s. 627-630. ISBN: 979-8-4007-0495-6 Resources:DOI
5	Proceeding paper 2024 Konrad F Gmyrek, Paweł Myszkowski, Michał Antkiewicz, Łukasz P Olech, iMOPSE: a comprehensive open source library for single- and multi-objective metaheuristic optimization. W: Parallel Problem Solving from Nature - PPSN XVIII : 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024 : Proceedings, Part II / eds. Michael Affenzeller [i in.]. Cham : Springer Nature Switzerland AG, cop. 2024. s. 170-184. ISBN: 978-3-031-70067-5; 978-3-031-70068-2 Resources:DOISFX
6	Proceeding paper 2023 Konrad F Gmyrek, Michał Antkiewicz, Paweł Myszkowski, Genetic algorithm for planning and scheduling problem - StarCraft II build order case study. W: Proceedings of the 18th Conference on Computer Science and Intelligence Systems, September 17-20, 2023, Warsaw, Poland / eds. Maria Ganzha [i in.]. Warszawa : Polskie Towarzystwo Informatyczne ; New York City : IEEE, 2023. s. 131-140. ISBN: 978-83-967447-8-4 Resources:DOIURLSFX
7	Proceeding paper 2023 Michał Antkiewicz, Paweł Myszkowski, Population-less genetic algorithm? Investigation of non-dominated tournament genetic algorithm (NTGA2) for multi-objective optimization. W: Communication Papers of the the 18th Conference on Computer Science and Intelligence Systems, September 17-20, 2023, Warsaw, Poland / eds. Maria Ganzha [i in.]. Warszawa : Polskie Towarzystwo Informatyczne, 2023. s. 21-28. ISBN: 978-83-969601-3-9; 978-83-969601-4-6 Resources:DOIURLSFX
8	Proceeding paper 2022 Michał Antkiewicz, Paweł Myszkowski, Maciej Laszczyk, GaMeDE2 - improved Gap-based Memetic Differential Evolution applied to multi–modal optimisation. W: Proceedings of the 17th Conference on Computer Science and Intelligence Systems, September 4-7, 2022, Sofia, Bulgaria / eds. Maria Ganzha [i in.]. Warszawa : Polskie Towarzystwo Informatyczne ; New York City : IEEE, 2022. s. 291-300. ISBN: 978-83-962423-9-6 Resources:DOISFX
9	Article 2022 Paweł Myszkowski, Maciej Laszczyk, Investigation of benchmark dataset for many-objective Multi-Skill Resource Constrained Project Scheduling Problem. Applied Soft Computing. 2022, vol. 127, art. 109253, s. 1-12. ISSN: 1568-4946; 1872-9681 Resources:DOISFX
10	Proceeding paper 2021 Maciej Laszczyk, Paweł Myszkowski, A gap–based memetic differential evolution (GaMeDE) applied to multi–modal optimisation – using multi–objective optimization concepts. W: Intelligent Information and Database Systems : 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7-10, 2021 : proceedings / eds. Ngoc Thanh Nguyen [i in.]. Cham : Springer, cop. 2021. s. 211-223. ISBN: 978-3-030-73279-0; 978-3-030-73280-6 Resources:DOISFX

All publications