Optimum Layout for Water Quality Monitoring Stations through Ant Colony Algorithm

Due to the high cost of monitoring systems, budget limitations, and high priority given to water quality control in municipal networks, especially for unexpected events, optimum location of monitoring stations has received considerable attention during the last decade. An optimization model needs to...

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Main Authors: Amin Afshar, Reza Maknoon, Abbas Afshar
Format: Article
Language:English
Published: Water and Wastewater Consulting Engineers Research Development 2006-09-01
Series:آب و فاضلاب
Subjects:
Online Access:http://www.wwjournal.ir/article_2287_025c3d2f41ef65d54e9532192e959b59.pdf
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spelling doaj-51a0b5dda42d43d38418d905000d31092021-03-02T08:16:12ZengWater and Wastewater Consulting Engineers Research Developmentآب و فاضلاب1024-59362383-09052006-09-011732112287Optimum Layout for Water Quality Monitoring Stations through Ant Colony AlgorithmAmin Afshar0Reza Maknoon1Abbas Afshar2M.Sc. of Water Resources Management, Amirkabir University of TechnologyAssistant Professor, Faculty of Civil and Environmental Engineering, Amirkabir University of TechnologyProfessor, Faculty of Civil Engineering, Iran University of Science and TechnologyDue to the high cost of monitoring systems, budget limitations, and high priority given to water quality control in municipal networks, especially for unexpected events, optimum location of monitoring stations has received considerable attention during the last decade. An optimization model needs to be developed for the desirable location of monitoring stations. This research attempts to develop such a model using Ant Colony Optimization (ACO) algorithm and tires to verify it through a bench-mark classical example used in previous researches. Selection of ACO as optimizer was fully justified due to discrete decision space and extensive number of binary variables in modeling system. Diversity of the policies derived from ACO may facilitate the process of decision making considering the social, physical, and economical conditions.http://www.wwjournal.ir/article_2287_025c3d2f41ef65d54e9532192e959b59.pdfMonitoring StationWater distribution networkWater QualityAnt colony algorithmoptimization
collection DOAJ
language English
format Article
sources DOAJ
author Amin Afshar
Reza Maknoon
Abbas Afshar
spellingShingle Amin Afshar
Reza Maknoon
Abbas Afshar
Optimum Layout for Water Quality Monitoring Stations through Ant Colony Algorithm
آب و فاضلاب
Monitoring Station
Water distribution network
Water Quality
Ant colony algorithm
optimization
author_facet Amin Afshar
Reza Maknoon
Abbas Afshar
author_sort Amin Afshar
title Optimum Layout for Water Quality Monitoring Stations through Ant Colony Algorithm
title_short Optimum Layout for Water Quality Monitoring Stations through Ant Colony Algorithm
title_full Optimum Layout for Water Quality Monitoring Stations through Ant Colony Algorithm
title_fullStr Optimum Layout for Water Quality Monitoring Stations through Ant Colony Algorithm
title_full_unstemmed Optimum Layout for Water Quality Monitoring Stations through Ant Colony Algorithm
title_sort optimum layout for water quality monitoring stations through ant colony algorithm
publisher Water and Wastewater Consulting Engineers Research Development
series آب و فاضلاب
issn 1024-5936
2383-0905
publishDate 2006-09-01
description Due to the high cost of monitoring systems, budget limitations, and high priority given to water quality control in municipal networks, especially for unexpected events, optimum location of monitoring stations has received considerable attention during the last decade. An optimization model needs to be developed for the desirable location of monitoring stations. This research attempts to develop such a model using Ant Colony Optimization (ACO) algorithm and tires to verify it through a bench-mark classical example used in previous researches. Selection of ACO as optimizer was fully justified due to discrete decision space and extensive number of binary variables in modeling system. Diversity of the policies derived from ACO may facilitate the process of decision making considering the social, physical, and economical conditions.
topic Monitoring Station
Water distribution network
Water Quality
Ant colony algorithm
optimization
url http://www.wwjournal.ir/article_2287_025c3d2f41ef65d54e9532192e959b59.pdf
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AT rezamaknoon optimumlayoutforwaterqualitymonitoringstationsthroughantcolonyalgorithm
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