Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning: Learn to optimise for job shop scheduling: a survey...: M. Xu et al.
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| Title: | Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning: Learn to optimise for job shop scheduling: a survey...: M. Xu et al. |
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| Authors: | Xu, Meng1, meng.xu@ecs.vuw.ac.nz, Mei, Yi1, yi.mei@ecs.vuw.ac.nz, Zhang, Fangfang1, fangfang.zhang@ecs.vuw.ac.nz, Zhang, Mengjie1, mengjie.zhang@ecs.vuw.ac.nz |
| Source: | Artificial Intelligence Review; Jun2025, Vol. 58 Issue 6, p1-53, 53p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 183753311 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10462-024-11059-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 53 StartPage: 1 Titles: – TitleFull: Learn to optimise for job shop scheduling: a survey with comparison between genetic programming and reinforcement learning: Learn to optimise for job shop scheduling: a survey...: M. Xu et al. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xu, Meng – PersonEntity: Name: NameFull: Mei, Yi – PersonEntity: Name: NameFull: Zhang, Fangfang – PersonEntity: Name: NameFull: Zhang, Mengjie IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02692821 Numbering: – Type: volume Value: 58 – Type: issue Value: 6 Titles: – TitleFull: Artificial Intelligence Review Type: main |
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