The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm
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Citations
Cites
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach
Zitzler, E., & Thiele, L. (1999) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.797969 · Cited by 8,798
Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
Li, H., & Zhang, Q. (2009) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2008.925798 · Cited by 2,543
The Traveling Salesman Problem
(2019) · Fundamentals of Supply Chain Theory · doi:10.1002/9781119584445.ch10 · Cited by 1,614
A survey of scheduling problems with setup times or costs
Allahverdi, A., Ng, C. T., Cheng, T. C. E., & Kovalyov, M. Y. (2006) · European Journal of Operational Research · doi:10.1016/j.ejor.2006.06.060 · Cited by 1,357
Backtracking Search Optimization Algorithm for numerical optimization problems
Civicioglu, P. (2013) · Applied Mathematics and Computation · doi:10.1016/j.amc.2013.02.017 · Cited by 1,018
Operational methods for minimization of energy consumption of manufacturing equipment
Mouzon, G., Yildirim, M. B., & Twomey, J. (2007) · International Journal of Production Research · doi:10.1080/00207540701450013 · Cited by 597
A new approach to scheduling in manufacturing for power consumption and carbon footprint reduction
Fang, K., Uhan, N., Zhao, F., & Sutherland, J. W. (2011) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2011.08.004 · Cited by 552
Optimizing the production scheduling of a single machine to minimize total energy consumption costs
Shrouf, F., Ordieres-Meré, J. B., Sánchez, Á. G., & Ortega-Mier, M. (2013) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2013.12.024 · Cited by 479
Energy-efficient scheduling in manufacturing companies: A review and research framework
Gahm, C., Denz, F., Dirr, M., & Tuma, A. (2016) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.07.017 · Cited by 474
Metadata
- Authors
- Lu, C., Gao, L., Li, X., Pan, Q., & Wang, Q.
- Venue
- Journal of Cleaner Production
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 144
- Pages
- 228-238
- ISSN
- 0959-6526 (ISSN-L)
- OpenAlex
- W2568704089
- Cited by
- 292
- References
- 27
- FWCI
- 39.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lu, C., Gao, L., Li, X., Pan, Q., & Wang, Q. (2017). Energy-efficient permutation flow shop scheduling problem using a hybrid multi-objective backtracking search algorithm. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2017.01.011
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.
