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Multi-Objective tool to optimize the Water Resources Management using Genetic Algorithm and the Pareto Optimality Concept

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  • Issam Nouiri

Abstract

This paper examines the development of a multi-objective tool, called “ALL_WATER”, in optimizing Water Resources Management. The objectives of satisfying demand and reducing costs were taken into consideration while at the same time respecting water salinity requirements and hydraulic constraints. A Multi-Objective Genetic Algorithm (MOGA) and the PARETO optimality concept were used to resolve the formulated problem. The tool developed was used to help optimize the daily management schedule of a real case study in Tunisia. The hydraulic system is made up of three surface water sources, one demand site, two transfer links and three supply links. Within a short computation time, a PARETO front was identified made up of a set of 72 optimal solutions. The modeling approach and the decision-making flexibility, both shown in the case study, prove that the developed tool is able to efficiently identify a set of optimal solutions on a PARETO front. The developed tool will be able to be used for a large variety of water management problems. Copyright Springer Science+Business Media Dordrecht 2014

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  • Issam Nouiri, 2014. "Multi-Objective tool to optimize the Water Resources Management using Genetic Algorithm and the Pareto Optimality Concept," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2885-2901, August.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:10:p:2885-2901
    DOI: 10.1007/s11269-014-0643-x
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    2. T. Fowe & I. Nouiri & B. Ibrahim & H. Karambiri & J. Paturel, 2015. "OPTIWAM: An Intelligent Tool for Optimizing Irrigation Water Management in Coupled Reservoir–Groundwater Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3841-3861, August.
    3. Shenlin Li & Xiaohong Chen & Vijay P. Singh & Yanhu He, 2018. "Assumption-Simulation-Feedback-Adjustment (ASFA) Framework for Real-Time Correction of Water Resources Allocation: a Case Study of Longgang River Basin in Southern China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 3871-3886, September.
    4. Mehri Abdi-Dehkordi & Omid Bozorg-Haddad & Abdolrahim Salavitabar & Erfan Goharian, 2021. "Developing a sustainability assessment framework for integrated management of water resources systems using distributed zoning and system dynamics approaches," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16246-16282, November.
    5. Yizhong Chen & Li He & Hongwei Lu & Jing Li & Lixia Ren, 2018. "Planning for Regional Water System Sustainability Through Water Resources Security Assessment Under Uncertainties," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 3135-3153, July.
    6. Kaiyong Wang & Pengyan Zhang & Bo Pang, 2018. "Process and Mechanism of Agricultural Irrigation Benefit Allocation Coefficient Based on Emergy Analysis—A Case Study of Henan, China," Sustainability, MDPI, vol. 10(12), pages 1-15, November.

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