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Multi-objective Coverage-based ACO Model for Quality Monitoring in Large Water Networks

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  • Amin Afshar
  • Miguel Mariño

Abstract

A numerical procedure is presented for the optimization of the position of water quality monitoring stations in a pressurized water distribution system (WDS). The procedure is based on the choice of the set of sampling stations which maximizes the monitored volume of water while keeping the number of stations at minimum. The optimization model is formulated in terms of integer programming, and the solution of the mathematical problem is efficiently approximated by means of a multi-objective multi-colony ant algorithm. A built-in routine is developed for calculation of the water fraction matrix and integrated into the general modeling structure to facilitate data entry and storage to minimize problems associated with water fraction matrix determination for varying scenarios and coverage criteria for any scenario. The proposed methodology is very robust in analyzing the effects of different scenarios and/or number of potential monitoring stations by eliminating the need of employing an off-line routine for coverage matrix identification. Robustness, ease of generalization, multi-objective nature, and computational efficiency are the main characteristics and novelty of the proposed approach. Monitoring stations are optimally located in a large-scale real-world network with 104 nodes and multiple demands using the proposed ACO models. The set of non-dominated solutions forming the Pareto front for a number of monitoring stations and the total coverage of the system are also presented. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Amin Afshar & Miguel Mariño, 2012. "Multi-objective Coverage-based ACO Model for Quality Monitoring in Large Water Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2159-2176, June.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:8:p:2159-2176
    DOI: 10.1007/s11269-012-0008-2
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    References listed on IDEAS

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    1. Milan Cisty, 2010. "Hybrid Genetic Algorithm and Linear Programming Method for Least-Cost Design of Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(1), pages 1-24, January.
    2. S. Madadgar & A. Afshar, 2009. "An Improved Continuous Ant Algorithm for Optimization of Water Resources Problems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(10), pages 2119-2139, August.
    3. M. Afshar & R. Moeini, 2008. "Partially and Fully Constrained Ant Algorithms for the Optimal Solution of Large Scale Reservoir Operation Problems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(12), pages 1835-1857, December.
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    Cited by:

    1. Symeon Christodoulou & Anastasis Gagatsis & Savvas Xanthos & Sofia Kranioti & Agathoklis Agathokleous & Michalis Fragiadakis, 2013. "Entropy-Based Sensor Placement Optimization for Waterloss Detection in Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4443-4468, October.
    2. Meisam Shokoohi & Massoud Tabesh & Sara Nazif & Mehdi Dini, 2017. "Water Quality Based Multi-objective Optimal Design of Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 93-108, January.
    3. Abbas Afshar & Fariborz Massoumi & Amin Afshar & Miquel Mariño, 2015. "State of the Art Review of Ant Colony Optimization Applications in Water Resource Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 3891-3904, September.
    4. Chia-Ling Chang & You-Tze Lin & Pei-Te Chiueh, 2014. "Single Criterion and Multiple Criteria Analysis: A Comparison of Water Quality Monitoring Designs for a River System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 645-655, February.
    5. Erfan Hajibandeh & Sara Nazif, 2018. "Pressure Zoning Approach for Leak Detection in Water Distribution Systems Based on a Multi Objective Ant Colony Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2287-2300, May.

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