Multiobjective memetic algorithm applied to the optimisation of water distribution systems
Barlow, Euan and Tanyimboh, Tiku (2014) Multiobjective memetic algorithm applied to the optimisation of water distribution systems. Water Resources Management, 28 (8). pp. 2229-2242. ISSN 0920-4741 (https://doi.org/10.1007/s11269-014-0608-0)
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Abstract
Finding low-cost designs of water distribution systems (WDSs) which satisfy appropriate levels of network performance within a manageable time is a complex problem of increasing importance. A novel multi-objective memetic algorithm (MA) is introduced as a solution method to this type of problem. The MA hybridises a robust genetic algorithm (GA) with a local improvement operator consisting of the classic Hooke and Jeeves direct search method and a cultural learning component. The performance of the MA and the GA on which it is based are compared in the solution of two benchmark WDS problems of inreacing size and difficulty. Solutions that are superior to those reported previously in the literature were achieved. The MA is shown to outperform the GA in each case, indicating that this may be a useful tool in the solution of real-world WDS problems. The potential benefits from search space reduction are also demonstrated.
ORCID iDs
Barlow, Euan ORCID: https://orcid.org/0000-0001-8906-3347 and Tanyimboh, Tiku ORCID: https://orcid.org/0000-0003-3741-7689;-
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Item type: Article ID code: 47296 Dates: DateEvent23 April 2014Published23 April 2014Published OnlineSubjects: Technology > Engineering (General). Civil engineering (General) Department: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 02 Apr 2014 11:44 Last modified: 24 Oct 2024 00:24 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/47296