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Retracted Chapter: Optimization of Water Distribution Networks with Differential Evolution (DE)

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 382))

Abstract

Nowadays, due to increasing population and water shortage and competition for its consumption, especially in the agricultural that is the largest consumer of water, proper and suitable utilization and optimal use of water resources is essential. One of the important parameters in agriculture field is water distribution network. In this research, differential evolution algorithm (DE) was used to optimize Ismail Abad water supply network. This network that is pressurized network and includes 19 pipes and nodes 18. Optimization of the network has been evaluated by developing an optimization model based on DE algorithm in MATLAB and the dynamic connection with EPANET software for network hydraulic calculation. The developing model was run for the scale factor (F), the crossover constant (Cr), initial population (N) and the number of generations (G) and was identified best adeptness for DE algorithm is 0.6, 0.5, 100 and 200 for F and Cr, N and G, respectively. The optimal solution was compared with the classical empirical method and results showed that Implementation cost of the network by DE algorithm 10.66% lower than the classical empirical method.

An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-662-47926-1_44

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Correspondence to Ramin Mansouri .

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Mansouri, R., Torabi, H., Morshedzadeh, H. (2016). Retracted Chapter: Optimization of Water Distribution Networks with Differential Evolution (DE) . In: Kim, J., Geem, Z. (eds) Harmony Search Algorithm. Advances in Intelligent Systems and Computing, vol 382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47926-1_39

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  • DOI: https://doi.org/10.1007/978-3-662-47926-1_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-47925-4

  • Online ISBN: 978-3-662-47926-1

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