Praveen Vankayala

Works (1)

Updated: July 5th, 2023 15:49

2009 article

Contaminant Source Identification in Water Distribution Networks Under Conditions of Demand Uncertainty

Vankayala, P., Sankarasubramanian, A., Ranjithan, S. R., & Mahinthakumar, G. (2009, September 4). Environmental Forensics, Vol. 10, pp. 253–263.

By: P. Vankayala n, A. Sankarasubramanian n , S. Ranjithan n  & G. Mahinthakumar n 

Contributors: P. Vankayala n, A. Sankarasubramanian n , S. Ranjithan n  & G. Mahinthakumar n 

author keywords: contaminant source identification; water distribution system; noisy genetic algorithms; uncertainty; optimization simulation
topics (OpenAlex): Water Systems and Optimization; Water Treatment and Disinfection; Water resources management and optimization
TL;DR: Results show that noisy GA is more robust and is less computationally expensive than stochastic GA in solving the source identification problem and the autoregressive demand uncertainty model better represents the uncertainty in the source Identification process than the Gaussian model. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

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