The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Lost in optimisation of water distribution systems? A literature review of system operation
Open accessAbstract
Optimisation of the operation of water distribution systems has been an active research field for almost half a century. It has focused mainly on optimal pump operation to minimise pumping costs and optimal water quality management to ensure that standards at customer nodes are met. This paper provides a systematic review by bringing together over two hundred publications from the past three decades, which are relevant to operational optimisation of water distribution systems , particularly optimal pump operation, valve control and system operation for water quality purposes of both urban drinking and regional multiquality water distribution systems. Uniquely, it also contains substantial and thorough information for over one hundred publications in a tabular form , which lists optimisation models inclusive of objectives, constraints, decision variables, solution methodologies used and other details. Research challenges in terms of simulation models, optimisation model formulation, selection of optimisation method and postprocessing needs have also been identified.
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Cites
A new optimizer using particle swarm theory
Eberhart, R., & Kennedy, J. (2002) · MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science · doi:10.1109/mhs.1995.494215 · Cited by 16,067
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
Zitzler, E., Deb, K., & Thiele, L. (2000) · Evolutionary Computation · doi:10.1162/106365600568202 · Cited by 5,697
SPEA2: Improving the strength pareto evolutionary algorithm
Zitzler, E., Laumanns, M., & Thiele, L. (2001) · doi:10.3929/ethz-a-004284029 · Cited by 5,008
Nonlinear Multiobjective Optimization
Miettinen, K. (1998) · International Series in Operations Research & Management Science · doi:10.1007/978-1-4615-5563-6 · Cited by 4,710
An efficient constraint handling method for genetic algorithms
Deb, K. (2000) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/s0045-7825(99)00389-8 · Cited by 3,892
Fuzzy programming and linear programming with several objective functions
Zimmermann, H.-J. (1978) · Fuzzy Sets and Systems · doi:10.1016/0165-0114(78)90031-3 · Cited by 3,605
Nonlinear Multiobjective Optimization
Mardle, S., & Miettinen, K. M. (2000) · The Journal of the Operational Research Society · doi:10.2307/254267 · Cited by 3,049
Brook, A., Kendrick, D., & Meeraus, A. (1988) · ACM SIGNUM Newsletter · doi:10.1145/58859.58863 · Cited by 2,973
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
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Forecasting methods and applications
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Cited by
A Survey on Evolutionary Constrained Multiobjective Optimization
Liang, J., Ban, X., Yu, K., Qu, B., Qiao, K., Yue, C., Chen, K., & Tan, K. C. (2023) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2022.3155533 · Cited by 438
Metadata
- Authors
- Mala-Jetmarova, H., Sultanova, N., & Savic, D.
- Venue
- Environmental Modelling & Software
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 93
- Pages
- 209-254
- ISSN
- 1364-8152 (ISSN-L)
- OpenAlex
- W2602685854
- Cited by
- 320
- References
- 40
- FWCI
- 27.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Mala-Jetmarova, H., Sultanova, N., & Savic, D. (2017). Lost in optimisation of water distribution systems? A literature review of system operation. Environmental Modelling & Software. https://doi.org/10.1016/j.envsoft.2017.02.009
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.