The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A simulated annealing algorithm for unit commitment
Abstract
This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP). New rules for randomly generating feasible solutions are introduced. The problem has two subproblems: a combinatorial optimization problem; and a nonlinear programming problem. The former is solved using the SAA while the latter problem is solved via a quadratic programming routine. Numerical results showed an improvement in the solutions costs compared to previously obtained results.
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Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Cited by
Genetic algorithm solution to unit commitment problem
Madraswala, H. S., & Deshpande, A. S. (2016) · 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) · doi:10.1109/icpeices.2016.7853075 · Cited by 963
Unit Commitment by an Enhanced Simulated Annealing Algorithm
Simopoulos, D. N., Kavatza, S. D., & Vournas, C. D. (2006) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2005.860922 · Cited by 331
Metadata
- Authors
- Mantawy, A. H., Abdel-Magid, Y. L., & Selim, S. Z.
- Venue
- IEEE Transactions on Power Systems
- Published
- 1998
- Volume
- 13
- Issue
- 1
- Pages
- 197-204
- ISSN
- 0885-8950 (ISSN-L)
- OpenAlex
- W2158281339
- Cited by
- 295
- References
- 1
- FWCI
- 2.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A simulated annealing algorithm for unit commitment. https://app.cochat.ai/papers/10.1109/59.651636
- The paper
- Mantawy, A. H., Abdel-Magid, Y. L., & Selim, S. Z. (1998). A simulated annealing algorithm for unit commitment. IEEE Transactions on Power Systems. https://doi.org/10.1109/59.651636
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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