Optimization of Water Network Distribution Using Genetic Algorithm and Relopt Model (Case Study: Havanirouz Town, Kerman)

Moienaddini, E. (2015) Optimization of Water Network Distribution Using Genetic Algorithm and Relopt Model (Case Study: Havanirouz Town, Kerman). Masters thesis, University of Zabol.

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The high cost problem of urban water supply systems, along with the complexity of the design and unsuitable operation problems cause the Optimization of the system before applying any changes, has become the basic needs of managers in this area. Due to the complexity of nonlinear and unique design of these networks, in recent years engineers using artificial intelligence and search algorithms to solve this problem. The present study tries to find solutions for the network of a town in Kerman province with the help of Genetic Algorithms, Imperialist competitive algorithm and fireflies and network simulation software intended Water GEMS. First the water supply network in the study area simulated in Water GEMS model and the properties required for optimization algorithms extracted, then using the standard pressure and speed constraints, these algorithms create optimal choices. By entering these results in Water GEMS model and re- running for limits check, the cost estimates were discussed and compared. The results showed that the optimization of Imperialist competitive algorithm with 37.4% and Genetic algorithm with very little difference (0.4%) means 37.7% is able to reduce the cost function of network in comparison to pre-optimized network. Also Fireflies algorithm in the amount of 34.4%, are able to reduce costs. Finally, we can say that all optimization algorithms used in this study have been able to achieve a dramatic reduction in project costs.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Firefly algorithm, water network, genetic algorithm, optimization, Imperialist competitive algorithm, Water GEMS
Subjects: T Technology > TD Environmental technology. Sanitary engineering
Depositing User: admin admin1 admin2
Date Deposited: 01 Nov 2016 07:07
Last Modified: 01 Nov 2016 07:07
URI: http://eprints.uoz.ac.ir/id/eprint/947

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