|
zaznaczenia są sumowane
RODZAJE PRAC:
| 15 | | 6 | | 2 | | 4 | | 42 | | 42 | | 1 | | 1 | | | | Dysertacje | | | 1 |
Eksporty
Wybrane prace:
0
|
| |
|
|
1
| 263273 | 105050358237 |
Adam Paliszek-Saładyga, Paweł Myszkowski, Marko Durasević*, Konrad F Gmyrek
BNTGP: a hyper-heuristic balancing non-dominated tournament genetic programming for multi-objective multi-skill resource-constrained project scheduling problem. W: Parallel Problem Solving from Nature - PPSN XIX : 19th International Conference, PPSN 2026, Trento, Italy, August 29 - September 2, 2026 : proceedings, Part IV / eds. Giovanni Iacca [i in.]. Cham : Springer Nature Switzerland AG, cop. 2027. s. 21-36.
| 2027 | |
|
|
2
| 263291 | 105048935396 |
Wojciech Skrzypiec, Paweł Myszkowski
Adaptive genetic algorithm (ADGA) applied to Flexible Job Shop scheduling problems with worker flexibility under uncertainty. W: GECCO'26 Companion : Proceedings of the 2026 Genetic and Evolutionary Computation Conference, July 13-17, 2026, San Jose, Costa Rica. New York, NY : ACM, cop. 2026. s. 5-6.
Priorytetowe Obszary Badawcze: 1
| 2026 | |
|
|
3
| 263289 | 105048894656 |
Konrad F. Gmyrek, Paweł Myszkowski, Łukasz Olech*, Adam Paliszek-Saładyga
iMOPSE: open-source research environment for single- and multi-objective NP-hard problems optimization. W: GECCO'26 Companion : Proceedings of the 2026 Genetic and Evolutionary Computation Conference, July 13-17, 2026, San Jose, Costa Rica. New York, NY : ACM, cop. 2026. s. 1495-1498.
| 2026 | |
|
|
4
| 263279 | |
Łukasz Olech*, Paweł Myszkowski, Konrad F Gmyrek
Instance-aware automatic parameter set-up of genetic algorithm using symbolic regression - a case study on multi-objective multi-skill resource-constrained project scheduling problem. W: GECCO'26 Companion : Proceedings of the 2026 Genetic and Evolutionary Computation Conference, July 13-17, 2026, San Jose, Costa Rica. New York, NY : ACM, cop. 2026. s. 469-472.
| 2026 | |
|
|
5
| 263282 | 105048888561 |
Łukasz Olech*, Paweł Myszkowski
Scalable benchmarking and problem instance analysis using machine learning for metaheuristics - a case study on multi-objective multi-skill resource-constrained project scheduling problem. W: GECCO'26 Companion : Proceedings of the 2026 Genetic and Evolutionary Computation Conference, July 13-17, 2026, San Jose, Costa Rica. New York, NY : ACM, cop. 2026. s. 101-104.
| 2026 | |
|
|
6
| 261669 | 105037823469 |
Michał Antkiewicz, Paweł Myszkowski
Local adaptive operator selection in Adaptive Non-Dominated Tournament Genetic Algorithm (A-NTGA) in solving multi-objective NP-hard problems with constraints. IEEE Access 2026 vol. 14, s. 69358-69375.
| 2026 | |
|
|
7
| 261099 | 105031875354 |
| 2026 | |
|
|
8
| 258322 | 105014588169 |
Łukasz P. Olech*, Paweł Myszkowski, Konrad F Gmyrek
CRSGA: Cluster-Based Region Selection Genetic Algorithm solving multi-objective Travelling Thief Problem. W: GECCO'25 Companion : Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion, July 14-18, 2025, Málaga, Spain / ed. Gabriela Ochoa. New York, NY : ACM, cop. 2025. s. 407-410.
| 2025 | |
|
|
9
| 258320 | 105014587440 |
Konrad F. Gmyrek, Paweł Myszkowski, Jan Gregor*, Łukasz P Olech*
L-DEGR: a novel hybrid algorithm for Multi-Skill Resource-Constrained Project Scheduling in large-scale. W: GECCO'25 Companion : Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion, July 14-18, 2025, Málaga, Spain / ed. Gabriela Ochoa. New York, NY : ACM, cop. 2025. s. 215-218.
| 2025 | |
|
|
10
| 251145 | 85201972454 |
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.
| 2024 | |
|