Optimisation of total water coverage in a network with priority using max-min ant system algorithm. Issue 3 (16th March 2017)

• Record Type: Journal Article
• Authors: Chagwiza, G.; Jones, B. C.; Hove-Musekwa, S. D.
• Is Part Of: Urban water journal. Volume 14:Issue 3(2017)
• Page Start: 315
• Page End: 324
• Publication Date: 2017-03-16
• Subjects: Optimisation -- water -- distribution -- network -- priority; Municipal water supply -- Management -- Periodicals; Water-supply -- Planning -- Periodicals; 628.1
• DOI: 10.1080/1573062X.2015.1135969
• Languages: English
• ISSNs: 1573-062X

Abstract

Abstract: A general mathematical programming algorithm is presented to optimise the total cost for the whole water network achieving total water coverage to all demand points in a water network with priority considering penalties associated with failure to meet the demand of two classes of consumers. The algorithm accommodates water leakages and pressure-driven demand and their effects on allocating water. Max-min ant system (MMAS) is used to solve the model using MIDACO 3.0 after interfacing MATLAB 7.0.4 and GAMS 23.9.4. The model is first solved using a particle swarm optimisation (PSO) algorithm. MMAS proved to be an effective water network optimisation tool with priority evidenced in an analysis of the Bulawayo water network by a lower total cost, inclusive of penalties for failure to meet demand for senior priority water users, which is reduced by 25.4%.