dc.contributor.author | Johns, M | |
dc.contributor.author | Keedwell, Edward | |
dc.contributor.author | Savić, Dragan | |
dc.date.accessioned | 2016-03-30T15:42:37Z | |
dc.date.issued | 2013-07-10 | |
dc.description.abstract | This 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.citation | Proceedings of the 2013 Genetic and Evolutionary Computation Conference, pp. 1309 - 1316 | en_GB |
dc.identifier.doi | 10.1145/2463372.2463533 | |
dc.identifier.uri | http://hdl.handle.net/10871/20881 | |
dc.language.iso | en | en_GB |
dc.publisher | ACM | en_GB |
dc.subject | Water Distribution | en_GB |
dc.subject | Genetic Algorithm | en_GB |
dc.subject | Heuristic | en_GB |
dc.subject | Optimisation | en_GB |
dc.title | Pipe smoothing genetic algorithm for least cost water distribution network design | en_GB |
dc.type | Conference paper | en_GB |
dc.date.available | 2016-03-30T15:42:37Z | |
dc.identifier.isbn | 978-1-4503-1963-8 | |
dc.description | This is the author accepted manuscript. The final version is available from the publisher via the DOI in this record. | en_GB |
dc.description | GECCO '13 Proceedings of the 15th annual conference on Genetic and evolutionary computation
Amsterdam, Netherlands — July 06 - 10, 2013 | en_GB |