SIMULATED ANNEALING GENETIC ALGORITHM-BASED HARVESTER OPERATION SCHEDULING MODEL Article Swipe
Qingkai Zhang
,
Guangqiao Cao
,
Junjie Zhang
,
Yuxiang Huang
,
Cong Chen
,
Meng Zhang
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.35633/inmateh-63-25
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.35633/inmateh-63-25
To address problems involving the poor matching ability of supply and demand information and outdated scheduling methods in agricultural machinery operation service, in this study, we proposed a harvester operation scheduling model and algorithm for an order-oriented multi-machine collaborative operation within a region. First, we analysed the order-oriented multi-machine collaborative operation within the region and the characteristics of agricultural machinery operation scheduling, examined the revenue of a mechanized harvesting operation and the components of each cost, and constructed a harvester operation scheduling model with the operation income as the optimization goal. Second, we proposed a simulated annealing genetic algorithm-based harvester operation scheduling algorithm and analysed the validity and stability of the algorithm through experimental simulations. The results showed that the proposed harvester operation scheduling model effectively integrated the operating cost, transfer cost, waiting time cost, and operation delay cost of the harvester, and the accuracy of the harvester operation scheduling model was improved; the harvester operation scheduling algorithm based on simulated annealing genetic algorithm (SAGA) was able to obtain a global near-optimal solution of high quality and stability with high computational efficiency.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.35633/inmateh-63-25
- https://api.inmateh.eu/uploads/63-25-N362-Zhang-Qingkaida772c6c-67fb-4470-a9d9-a726209e8f72.pdf
- OA Status
- diamond
- Cited By
- 5
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3163568572
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3163568572Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.35633/inmateh-63-25Digital Object Identifier
- Title
-
SIMULATED ANNEALING GENETIC ALGORITHM-BASED HARVESTER OPERATION SCHEDULING MODELWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-04-30Full publication date if available
- Authors
-
Qingkai Zhang, Guangqiao Cao, Junjie Zhang, Yuxiang Huang, Cong Chen, Meng ZhangList of authors in order
- Landing page
-
https://doi.org/10.35633/inmateh-63-25Publisher landing page
- PDF URL
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https://api.inmateh.eu/uploads/63-25-N362-Zhang-Qingkaida772c6c-67fb-4470-a9d9-a726209e8f72.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://api.inmateh.eu/uploads/63-25-N362-Zhang-Qingkaida772c6c-67fb-4470-a9d9-a726209e8f72.pdfDirect OA link when available
- Concepts
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Simulated annealing, Fair-share scheduling, Computer science, Scheduling (production processes), Dynamic priority scheduling, Genetic algorithm, Algorithm, Two-level scheduling, Mathematical optimization, Real-time computing, Schedule, Mathematics, Machine learning, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
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2025: 2, 2024: 2, 2023: 1Per-year citation counts (last 5 years)
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17Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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