The DOI matches its Crossref record.
Parameter optimization of modern machining processes using teaching–learning-based optimization algorithm
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Citations
Cited by
Sahu, B. K., Pati, S., Mohanty, P. K., & Panda, S. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2014.11.027 · Cited by 261
Meta-heuristics meet sports: A systematic review from the viewpoint of nature-inspired algorithms
Ariyaratne, M. K. A., & Silva, R. M. (2022) · International Journal of Computer Science in Sport · doi:10.2478/ijcss-2022-0003 · Cited by 19
Metadata
- Authors
- Venkata Rao, R., & Kalyankar, V. D.
- Venue
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 26
- Issue
- 1
- Pages
- 524-531
- ISSN
- 0952-1976 (ISSN-L)
- OpenAlex
- W2094340389
- Cited by
- 316
- References
- 0
- FWCI
- 19.33
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Parameter optimization of modern machining processes using teaching–learning-based optimization algorithm. https://app.cochat.ai/papers/10.1016/j.engappai.2012.06.007
- The paper
- Venkata Rao, R., & Kalyankar, V. D. (2013). Parameter optimization of modern machining processes using teaching–learning-based optimization algorithm. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2012.06.007
Data sources
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.