Multi-Objective tool to optimize the Water Resources Management using Genetic Algorithm and the Pareto Optimality Concept
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
Year of publication: |
2014
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Authors: | Nouiri, Issam |
Published in: |
Water Resources Management. - Springer. - Vol. 28.2014, 10, p. 2885-2901
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Publisher: |
Springer |
Subject: | ALL_WATER | Water | Management | Optimization | Genetic Algorithm | Tunisia |
Saved in:
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