Genetic Programming Modeling for Pollutant Removal from Aerobic Bioreactor Treating Industrial Wastewater

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Sharma:2019:INCOS,

• author = "Naresh K Sharma and K. Suganya and Chandrasekaran Sivapragasam and M. Matheswaran",
• title = "Genetic Programming Modeling for Pollutant Removal from Aerobic Bioreactor Treating Industrial Wastewater",
• booktitle = "2019 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS)",
• year = "2019",
• month = apr,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/INCOS45849.2019.8951364",
• abstract = "Smart systems can be appropriately coordinated in industries to monitor and control the performance of wastewater treatment plants to regulate their pollutant discharge levels. Laboratory scale aerobic bioreactor was used in continuous treatment of toxic pollutants such as phenol, o-cresol, m-xylenol, quinoline, indole and cyanide representing wastewater from coal processing and steel manufacturing industries. This study models the treatment behavior of aerobic bioreactor in degradation of phenol and cyanide in presence of other toxic pollutants using Genetic Programming (GP). The root mean squares of error (RMSE) of GP run models from aerobic reactor treating cyanide was found to be 1.89; whereas those for phenol removal was 2.84. It was also found that hydraulic retention time played an important factor in increasing the efficiency of the treatment system. The GP based models highlights the detrimental effect of cyanide on microbial population while the positive influence of quinoline in removal of phenol from the bioreactor was brought upon from the model equation. The GP results were compared with those of Artificial Neural Networks (ANN). The outcomes show that GP is a more encouraging tool especially when modeling the treatment behavior of biological systems for toxic pollutants.",
• notes = "Also known as \cite{8951364}",

}

Genetic Programming entries for Naresh K Sharma K Suganya C Sivapragasam Manickam Matheswaran

Citations