Sewer network design layout optimisation using ant colony algorithms

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dc.contributor.authorDe Villiers, Nico-Benen_ZA
dc.contributor.authorVan Rooyen, G. C.en_ZA
dc.contributor.authorMiddendorf, Martinen_ZA
dc.date.accessioned2019-10-11T12:33:38Z
dc.date.available2019-10-11T12:33:38Z
dc.date.issued2018
dc.descriptionCITATION: De Villiers, N. B., Van Rooyen, G. C. & Middendorf, M. 2018. Sewer network design layout optimisation using ant colony algorithms. Journal of the South African Institution of Civil Engineering, 60(3):2-15, doi:10.17159/2309-8775/2018/v60n3a1.
dc.descriptionThe original publication is available at http://www.scielo.org.za
dc.description.abstractThe optimal design of sewer networks typically comprises two sub-problems. The first is to determine an optimal layout of the network elements, and the second to optimally design the network components. In this article the focus is on the optimisation of gravity sewer network layouts, which requires simultaneous optimisation of hydraulic design. The layout is optimised using ant colony algorithms with four proposed node and edge-based selection strategies, while a heuristic optimisation algorithm is used for the hydraulic optimisation. The resulting simultaneous optimisation algorithm is shown to perform very well. The selection strategies are shown to be effective, but no clear best strategy is identified, as the performance of the layout algorithms is shown to depend heavily on characteristics of the network under consideration. However, some strategies are shown to perform inconsistently and worse than others on average.en_ZA
dc.description.urihttp://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S1021-20192018000300001&lng=en&nrm=iso&tlng=en
dc.description.versionPublisher's version
dc.format.extent14 pages
dc.identifier.citationDe Villiers, N. B., Van Rooyen, G. C. & Middendorf, M. 2018. Sewer network design layout optimisation using ant colony algorithms. Journal of the South African Institution of Civil Engineering, 60(3):2-15, doi:10.17159/2309-8775/2018/v60n3a1
dc.identifier.issn2309-8775 (online)
dc.identifier.issn1021-2019 (print)
dc.identifier.otherdoi:10.17159/2309-8775/2018/v60n3a1
dc.identifier.urihttp://hdl.handle.net/10019.1/106630
dc.language.isoen_ZAen_ZA
dc.publisherSouth African Institution of Civil Engineering
dc.rights.holderAuthors retain copyright
dc.subjectGravity sewer networken_ZA
dc.subjectSewer designen_ZA
dc.subjectAnts -- Behavior -- Mathematical modelsen_ZA
dc.subjectMathematical optimizationen_ZA
dc.subjectHydraulic modelsen_ZA
dc.subjectStructural optimizationen_ZA
dc.subjectAnt colony optimizationen_ZA
dc.titleSewer network design layout optimisation using ant colony algorithmsen_ZA
dc.typeArticleen_ZA
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