Titan Yellow Biosorption of Hemp Waste in Acidic Medium and Modeling of Experimental Conditions by Multi Gene Genetic Programming

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@InProceedings{Arslan:2022:ASYU,

• author = "Sibel Arslan and Nursah Kutuk",
• booktitle = "2022 Innovations in Intelligent Systems and Applications Conference (ASYU)",
• title = "Titan Yellow Biosorption of Hemp Waste in Acidic Medium and Modeling of Experimental Conditions by Multi Gene Genetic Programming",
• year = "2022",
• abstract = "In recent years, pollutants such as dyes, drugs and heavy metals in wastewater have caused serious environmental pollution. In this study, biosorption of titan yellow (TY) using hemp waste was studied. In the biosorption of TY dye to hemp waste, 88percent biosorption was achieved with an initial dye concentration of 10 mg/L and a biosorbent ratio of 2 g/L in acidic medium. When Langmuir and Freundlich isotherms were examined, R-squared values were obtained as 0.92 and 0.95, respectively. Its maximum biosorption capacity has been calculated as 51.8 mg/g. It has also been observed that the biosorption process adapts to the pseudo second order reaction R-squared = 0.99) kinetics. We have also developed more accurate and reliable correlation models using Multi-Gene Genetic Programming (MGGP), a powerful method based on evolutionary computation. The performance of the developed models was examined using three statistical criteria. A comparison of the criteria reveals that MGGP is effective in simulating the biosorption process in the real world.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/ASYU56188.2022.9925394",
• ISSN = "2770-7946",
• month = sep,
• notes = "Also known as \cite{9925394}",

}

Genetic Programming entries for Sibel Arslan Nursah Kutuk

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