research-article

Modified NSGA-III for sensor placement in water distribution system

Authors:

Ling WangAuthors Info & Claims

Volume 509, Issue C

Pages 488 - 500

https://doi.org/10.1016/j.ins.2018.06.055

Published: 01 January 2020 Publication History

Highlights

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A modified NSGA-III algorithm is proposed for sensor placement.

•

We theoretically analyze the sensor placement problem.

•

We prove that the sensor placement problem is NP-hard problem.

•

The benefits of the proposed algorithm are illustrated.

Abstract

Contaminant events in drinkable water distribution systems (WDSs) have occurred frequently in recent years, causing severe damages, economic loss, and long-lasting societal impact. A critical and effective method to monitor WDS in real-time is deploying a water quality sensor. However, the placement of such sensors in a water distribution network (WDN) has become a foremost concern around the world. In this paper, we first analyze sensor placement mathematically and prove that it is NP-hard. Subsequently, we distinguish between single- and multi-objective optimization, and attempt, for the first time, to propose a modified NSGA-III to solve many-objective optimization for the sensor placement problem. WDNs of two sizes are employed and simulation results demonstrate the validity and effectiveness of the proposed model and methodology. The future research works are also identified and discussed.

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Published In

cover image Information Sciences: an International Journal

Information Sciences: an International Journal Volume 509, Issue C

Jan 2020

530 pages

ISSN:0020-0255

Issue’s Table of Contents

Elsevier Inc.

Publisher

Elsevier Science Inc.

United States

Publication History

Published: 01 January 2020

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Cited By

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https://dl.acm.org/doi/10.1007/s11063-022-10851-4
Wu QWu BYan X(2023)An intelligent traceability method of water pollution based on dynamic multi-mode optimizationNeural Computing and Applications10.1007/s00521-022-07002-035:3(2059-2076)Online publication date: 1-Jan-2023
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Chutima PKhotsaenlee A(2022)Multi-objective parallel adjacent U-shaped assembly line balancing collaborated by robots and normal and disabled workersComputers and Operations Research10.1016/j.cor.2022.105775143:COnline publication date: 1-Jul-2022
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Li KYan XHan YGe FJiang Y(2022)Many-objective optimization based path planning of multiple UAVs in oilfield inspectionApplied Intelligence10.1007/s10489-021-02977-052:11(12668-12683)Online publication date: 1-Sep-2022
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