Optimum Water Resources Allocation by Artificial Immune Systems

Abstract

This study proposes an optimization model using Artificial Immune Systems (AIS) for allocation of water resources among different sectors such as agriculture, industry, livestock production, drinking and environmental water demands, energy, tourism, mining, aquaculture and commercial water. The modified Clonal Selection Algorithm (modified Clonalg) which is a class of AIS, was used in the study. An objective function of the model was based on both maximum benefit (income) and maximum water satisfaction of the sectors. The model was implemented to a scenario including the mentioned sectors for testing its performance. The results demonstrated that the model is applicable for the water resources allocation.

Keywords

• Water resources
• water allocation
• optimization
• modified Clonalg
• modeling

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