Optimization of pressurized irrigation network pipe diameters using genetic algorithm based on integer numeric (Case study: Ismail Abad network in Lorestan)

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GHOBADIAN R.; HAZERI A.; FATEMI S.E.

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Journal: Journal of Water and Soil Conservation Year:2018 | Volume:25 | Issue:4 Page(s): 207-224

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Title

Optimization of pressurized irrigation network pipe diameters using genetic algorithm based on integer numeric (Case study: Ismail Abad network in Lorestan)

Author(s)

GHOBADIAN R. | HAZERI A. | FATEMI S.E. | Issue Writer Certificate

Keywords

Genetic algorithmQ2

Integer numericQ2

Ismail Abad LorestanQ1

OptimizationQ2

Sprinkler irrigationQ1

Abstract

Background and Objectives: Nowadays, human societies spend a lot of money to maximize profits and minimize their costs. The issue of selecting the best arrangement for the pipe diameters and the optimal pumping head of pressurized irrigating network so that minimize total cost while meeting all restriction of network, has received considerable attention by the engineers during past years and is an important issue of hydraulic research. To date, many researches have been done in the field of Optimization of pressurized irrigation system to reduce the cost of this infrastructure. In this research Optimization of pressurized irrigation system is often done by using available commercial codes or toolbox's of conventional evolutionary algorithms integrated with hydraulic models. In this research, a Visual Basic language Optimization code has been developed based on genetic search for integer numbers, in which the optimal design of pressurized irrigation systems with branching layout is done by taking into account the velocity and pressure constrains. Materials and Methods: In developed code that is based on Genetic algorithm Optimization method an Integer numeric is assigned to each available diameter. Then, to determine the optimal diameter of network pipes, by applying the cross-over, mutation and reinsertion with elitism approach on set of chromosomes an Integer numeric for each pipe is selected. The output of the model contains the optimal diameter and minimum cost of the irrigation network. Calibration and verification of the model was accomplished by comparing the model result with analytical solutions of several nonlinear problems included different constrains. Finally, we have used of the proposed model for optimal design of Ismail Abad irrigation network in Lorestan province. Results: The results showed that in comparison with existing conditions, optimized design by the present model could reduce cost of implementation of pipelines of Ismail Abad irrigation network from 825935. 28$ to 730958. 37$. In addition, in manual design, the pressure head at the beginning of the system was 140 meters and in Optimization mode was 13. 08 meters, which is approximately the same, in other words, the cost of the pumping station in both methods is almost equal. Also, by comparing the network in existing conditions and the optimized network using a genetic search of integers, there is a significant difference between the obtained diameters. In such a way that of the 16 pipes in the network, there were 10 pipes with decreasing in diameter and 3 pipes with increasing in diameter. Conclusion: The present model has the ability to solve various Optimizations linear and nonlinear problems included different constraints and the results of the model are completely equal to analytical solution results. The results were shown that the use of developed Optimization model could reduce 11. 5% cost of implementation of Ismail Abad pipelines.

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APA: Copy

GHOBADIAN, R., HAZERI, A., & FATEMI, S.E.. (2018). Optimization of pressurized irrigation network pipe diameters using genetic algorithm based on integer numeric (Case study: Ismail Abad network in Lorestan). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), 25(4 ), 207-224. SID. https://sid.ir/paper/156038/en

Vancouver: Copy

GHOBADIAN R., HAZERI A., FATEMI S.E.. Optimization of pressurized irrigation network pipe diameters using genetic algorithm based on integer numeric (Case study: Ismail Abad network in Lorestan). JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES)[Internet]. 2018;25(4 ):207-224. Available from: https://sid.ir/paper/156038/en

IEEE: Copy

R. GHOBADIAN, A. HAZERI, and S.E. FATEMI, “Optimization of pressurized irrigation network pipe diameters using genetic algorithm based on integer numeric (Case study: Ismail Abad network in Lorestan),” JOURNAL OF WATER AND SOIL CONSERVATION (JOURNAL OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES), vol. 25, no. 4 , pp. 207–224, 2018, [Online]. Available: https://sid.ir/paper/156038/en

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