Genetic algorithm modeling for photocatalytic elimination of impurity in wastewater

Raheleh Jafari, Sina Razvarz, Wen Yu, Alexander Gegov, Morten Goodwin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

170 Downloads (Pure)


The existence of C.I. Acid Yellow 23 (AY23) in water causes a great danger to people and society. Here, we suggest an advanced technique which predicts the photochemical deletion of AY23. The genetic algorithm (GA) technique is suggested in order to predict the photocatalytic removal of AY23 by implementing the Ag-TiO 2 nanoparticles provided under appropriate conditions.

In order to evaluate the proposed method, a total of 100 data are utilized which are arbitrarily divided into two: 80 samples in order to train the model as well as 20 samples in order to test the model. Experimental outcomes reveals that the suggested technique is efficient for photocatalytic elimination of impurity in wastewater.
Original languageEnglish
Title of host publicationIntelligent Systems and Applications
Subtitle of host publicationProceedings of the 2019 Intelligent Systems Conference (IntelliSys) Volume 1
EditorsYaxin Bi, Rahul Bhatia, Supriya Kapoor
ISBN (Electronic)978-3-030-29516-5
ISBN (Print)978-3-030-29515-8
Publication statusPublished - Sept 2019
EventIEEE SAI Intelligent Systems Conference 2019 - London, United Kingdom
Duration: 5 Sept 20196 Sept 2019

Publication series

NameIntelligent Systems and Applications
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


ConferenceIEEE SAI Intelligent Systems Conference 2019
Abbreviated titleIntelliSys 2019
Country/TerritoryUnited Kingdom
Internet address


Dive into the research topics of 'Genetic algorithm modeling for photocatalytic elimination of impurity in wastewater'. Together they form a unique fingerprint.

Cite this