Swarm intelligence algorithms for optimising sliding wear of nanocomposites
This paper presents simulation results obtained by a set of modern algorithms adhering to swarm intelligence for minimising wear rate in the case of A356/Al2O3 nanocomposites produced using a compocasting process. Grey wolf optimisation (GWO) algorithm, moth-flame optimisation (MFO) algorithm, drago...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Balkan Scientific Centre
2024-03-01
|
| Series: | Tribology and Materials |
| Subjects: | |
| Online Access: | https://www.tribomat.net/archive/2024/2024-01/TM-2024-01-05.pdf |