Publication
Title
An iterated local search algorithm for multi-period water distribution network design optimization
Author
Abstract
Water distribution networks consist of different components, such as reservoirs and pipes, and exist to provide users (households, agriculture, industry) with high-quality water at adequate pressure and flow. Water distribution network design optimization aims to find optimal diameters for every pipe, chosen from a limited set of commercially available diameters. This combinatorial optimization problem has received a lot of attention over the past forty years. In this paper, the well-studied single-period problem is extended to a multi-period setting in which time varying demand patterns occur. Moreover, an additional constraint-which sets a maximum water velocity-is imposed. A metaheuristic technique called iterated local search is applied to tackle this challenging optimization problem. A full-factorial experiment is conducted to validate the added value of the algorithm components and to configure optimal parameter settings. The algorithm is tested on a broad range of 150 different (freely available) test networks.
Language
English
Source (journal)
Water
Publication
2016
ISSN
2073-4441
DOI
10.3390/W8080359
Volume/pages
8 :8 (2016) , p. 1-37
Article Reference
359
ISI
000387675500024
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
Optimization of gas and water distribution networks using metaheuristics.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 10.01.2017
Last edited 09.10.2023
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