The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Ant colony optimization combined with taboo search for the job shop scheduling problem
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Citations
Cites
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Cited by
Review of job shop scheduling research and its new perspectives under Industry 4.0
Zhang, J., Ding, G., Zou, Y., Qin, S., & Fu, J. (2019) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-017-1350-2 · Cited by 558
Actor-Critic Deep Reinforcement Learning for Solving Job Shop Scheduling Problems
Liu, C.-L., Chang, C.-C., & Tseng, C.-J. (2020) · IEEE Access · doi:10.1109/access.2020.2987820 · Cited by 281
Metadata
- Authors
- Huang, K.-L., & Liao, C.-J.
- Venue
- Computers & Operations Research
- Publisher
- Elsevier BV
- Published
- 2008-04
- Volume
- 35
- Issue
- 4
- Pages
- 1030-1046
- ISSN
- 0305-0548 (ISSN-L)
- OpenAlex
- W2011649121
- Cited by
- 278
- References
- 31
- FWCI
- 42.75
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.