| dc.contributor.author | - | |
| dc.date.accessioned | 2025-10-02T04:33:49Z | |
| dc.date.available | 2025-10-02T04:33:49Z | |
| dc.date.issued | 2021-05-28 07:18:14+00:00 | |
| dc.identifier.issn | - | |
| dc.identifier.uri | 2666-7207 | |
| dc.identifier.uri | http://digilib.fisipol.ugm.ac.id/repo/handle/15717717/34822 | |
| dc.description.abstract | - | |
| dc.format | - | |
| dc.language.iso | EN | |
| dc.publisher | Elsevier | |
| dc.relation.uri | ['https://www.journals.elsevier.com/results-in-control-and-optimization', 'https://www.elsevier.com/journals/results-in-control-and-optimization/2666-7207/guide-for-authors', 'https://www.elsevier.com/authors/open-access/choice#waivers'] | |
| dc.rights | ['CC BY', 'CC BY-NC-ND', 'CC BY-NC'] | |
| dc.subject | ['control and optimization', 'process control', 'optimization', 'artificial intelligence', 'reinforcement learning', 'computer simulation', 'Applied mathematics. Quantitative methods', 'T57-57.97'] | |
| dc.title | Results in Control and Optimization | |
| dc.type | Article | |
| dc.identifier.oai | oai:doaj.org/journal:2c8f766339684510b5386461f9e1d53e | |
| dc.journal.info | - | |
