Show simple item record

dc.contributor.authorJohns, M
dc.contributor.authorKeedwell, Edward
dc.contributor.authorSavić, Dragan
dc.date.accessioned2016-03-30T15:42:37Z
dc.date.issued2013-07-10
dc.description.abstractThis paper describes the development of a Pipe Smoothing Genetic Algorithm (PSGA) and its application to the problem of least cost water distribution network design. Genetic algorithms have been used widely for the optimisation of both theoretical and real-world non-linear optimisation problems, including water system design and maintenance problems. In this work we propose a pipe smoothing based approach to the creation and mutation of chromosomes which utilises engineering expertise with the view to increasing the performance of the algorithm compared to a standard genetic algorithm. Both PSGA and the standard genetic algorithm were tested on benchmark water distribution networks from the literature. In all cases PSGA achieves higher optimality in fewer solution evaluations than the standard genetic algorithm.en_GB
dc.identifier.citationProceedings of the 2013 Genetic and Evolutionary Computation Conference, pp. 1309 - 1316en_GB
dc.identifier.doi10.1145/2463372.2463533
dc.identifier.urihttp://hdl.handle.net/10871/20881
dc.language.isoenen_GB
dc.publisherACMen_GB
dc.subjectWater Distributionen_GB
dc.subjectGenetic Algorithmen_GB
dc.subjectHeuristicen_GB
dc.subjectOptimisationen_GB
dc.titlePipe smoothing genetic algorithm for least cost water distribution network designen_GB
dc.typeConference paperen_GB
dc.date.available2016-03-30T15:42:37Z
dc.identifier.isbn978-1-4503-1963-8
dc.descriptionThis is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.en_GB
dc.descriptionGECCO '13 Proceedings of the 15th annual conference on Genetic and evolutionary computation Amsterdam, Netherlands — July 06 - 10, 2013en_GB


Files in this item

This item appears in the following Collection(s)

Show simple item record