Water Resources Management

, Volume 28, Issue 10, pp 2885–2901 | Cite as

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

  • Issam NouiriEmail author


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.


ALL_WATER Water Management Optimization Genetic Algorithm Tunisia 



The authors would like to thank the National Institute of Agronomy of Tunisia (INAT) and the Tunisian National Drinking Water Utility for their support of this work.


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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.National Institute of Agronomy of TunisiaTunisTunisia

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