3D print orientation optimization and comparative analysis of NSGA-II versus NSGA-II with Q-learning
and
Jul 01, 2025
About this article
Article Category: Research Article
Published Online: Jul 01, 2025
Received: Apr 08, 2025
DOI: https://doi.org/10.2478/ijssis-2025-0035
Keywords
© 2025 G. Bilowo et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Figure 1:
![NSGA-II flowchart [13]. NSGA-II, non-dominated sorting genetic algorithm II.](https://sciendo-parsed.s3.eu-central-1.amazonaws.com/678caf4e082aa65dea3d247b/j_ijssis-2025-0035_fig_001.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6AP2G7AKOUXAVR44%2F20250907%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20250907T074745Z&X-Amz-Expires=3600&X-Amz-Signature=75efd32d45af9606509f63e77ea32f9f4e31f05a91a45b474aa5d2858265b27f&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)
Figure 2:
![Flowchart of the Q-learning and NSGA-II hybrid combination [21]. NSGA-II, non-dominated sorting genetic algorithm II.](https://sciendo-parsed.s3.eu-central-1.amazonaws.com/678caf4e082aa65dea3d247b/j_ijssis-2025-0035_fig_002.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6AP2G7AKOUXAVR44%2F20250907%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20250907T074745Z&X-Amz-Expires=3600&X-Amz-Signature=1c04a75087c0addb85f9b589127e7a94b76eb198ce9058fc68d1465fc4e2bd41&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)
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![Stair-stepping effect due to layer stacking on an inclined surface [8].](https://sciendo-parsed.s3.eu-central-1.amazonaws.com/678caf4e082aa65dea3d247b/j_ijssis-2025-0035_fig_005.jpg?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA6AP2G7AKOUXAVR44%2F20250907%2Feu-central-1%2Fs3%2Faws4_request&X-Amz-Date=20250907T074745Z&X-Amz-Expires=3600&X-Amz-Signature=0c64987ecef546c0fbbf0c5506808dc8d3c240956460cf0ffbe73186c13e37f4&X-Amz-SignedHeaders=host&x-amz-checksum-mode=ENABLED&x-id=GetObject)
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Dataset of 3D model
1 | bunny | 0 | 0 | 0 | 292 | 2,168.3 | 1,023 | 101 |
Comparison of NSGAII with NSGAII-Q learning
Bunny | Material support | 212,970 | 208,570 | 2.1 |
Print time | 1,1847 | 11,393 | 3.8 | |
Surface roughness | 1.08 | 1.06 | 1.9 |