The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Ant Colony Optimization for Design of Water Distribution Systems
Open accessAbstract
During the last decade, evolutionary methods such as genetic algorithms have been used extensively for the optimal design and operation of water distribution systems. More recently, ant colony optimization algorithms (ACOAs), which are evolutionary methods based on the foraging behavior of ants, have been successfully applied to a number of benchmark combinatorial optimization problems. In this paper, a formulation is developed which enables ACOAs to be used for the optimal design of water distribution systems. This formulation is applied to two benchmark water distribution system optimization problems and the results are compared with those obtained using genetic algorithms (GAs). The findings of this study indicate that ACOAs are an attractive alternative to GAs for the optimal design of water distribution systems, as they outperformed GAs for the two case studies considered both in terms of computational efficiency and their ability to find near global optimal solutions.
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Cites
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The Ant Colony Optimization Metaheuristic
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Cited by
Comparison among five evolutionary-based optimization algorithms
Elbeltagi, E., Hegazy, T., & Grierson, D. (2005) · Advanced Engineering Informatics · doi:10.1016/j.aei.2005.01.004 · Cited by 1,284
Artificial Intelligence techniques: An introduction to their use for modelling environmental systems
Chen, S. H., Jakeman, A. J., & Norton, J. P. (2008) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2008.01.028 · Cited by 323
Lost in optimisation of water distribution systems? A literature review of system operation
Mala-Jetmarova, H., Sultanova, N., & Savic, D. (2017) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2017.02.009 · Cited by 320
Digital transformation in water organizations
Boyle, C., Ryan, G., Bhandari, P., Law, K. M. Y., Gong, J., & Creighton, D. (2022) · Journal of Water Resources Planning and Management · doi:10.1061/(asce)wr.1943-5452.0001555 · Cited by 70
Metadata
- Authors
- Maier, H. R., Simpson, A. R., Zecchin, A. C., Foong, W. K., Phang, K. Y., Seah, H. Y., & Tan, C. L.
- Venue
- Journal of Water Resources Planning and Management
- Published
- 2003-05
- Volume
- 129
- Issue
- 3
- Pages
- 200-209
- ISSN
- 0733-9496 (ISSN-L)
- 1943-5452
- DOI
- 10.1061/(asce)0733-9496(2003)129:3(200
- OpenAlex
- W2028173167
- Cited by
- 484
- References
- 11
- FWCI
- 67.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Maier, H. R., Simpson, A. R., Zecchin, A. C., Foong, W. K., Phang, K. Y., Seah, H. Y., & Tan, C. L. (2003). Ant Colony Optimization for Design of Water Distribution Systems. Journal of Water Resources Planning and Management. https://doi.org/10.1061/(asce)0733-9496(2003)129%3A3(200
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