Abstract
In this research, a novel optimization algorithm, which is a hybrid spotted hyena-Nelder-Mead optimization algorithm (HSHO-NM) algorithm, has been introduced in solving grinding optimization problems. A well-known grinding optimization problem is solved to prove the superiority of the HSHO-NM over other algorithms. The results of the HSHO-NM are compared with others. The results show that HSHONM is an efficient optimization approach for obtaining the optimal manufacturing variables in grinding operations.
| Original language | English |
|---|---|
| Pages (from-to) | 293-298 |
| Number of pages | 6 |
| Journal | Materialpruefung/Materials Testing |
| Volume | 63 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2021 |
Bibliographical note
Publisher Copyright:© 2021 Walter de Gruyter GmbH, Berlin/Boston, Germany.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Grinding operation
- Manufacturing
- Nelder-mead optimization
- Spotted hyena optimization algorithm
ASJC Scopus subject areas
- General Materials Science
- Mechanics of Materials
- Mechanical Engineering
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