Application of multi-gene genetic programming technique for modeling and optimization of phycoremediation of Cr(VI) from wastewater

Abstract Background Removal of Cr(VI) from wastewater is essential as it potentially toxic and carcinogenic in nature. Bioremediation heavy metals using microalgae a novel technique has several advantages such remove an environmentally friendly economic manner. The present study deals with modeling optimization the phycoremediation synthetic wastewater. initial concentration Cr(VI), pH, inoculum size were considered input factors, percentage removal was chosen response. Results An accurate data-driven genetic programming model developed experimental data other scientists to find relation between all parameters. To maximize grey wolf applied determine optimal values Conclusion These optimum parameters are difficult get through experimentation trial-and-error method. established modelling generic can be any study. Graphical