Optimum Water Resources Allocation by Artificial Immune Systems

Authors : Mirac ERYİĞİT, Nusret KARAKAYA

Pages : 75-82

View : 19 | Download : 15

Publication Date : 2021-01-15

Article Type : Research Paper

Abstract :This study proposes an optimization model using Artificial Immune Systems insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(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