Title: A revamped fitness-based binary bamboo forest growth optimisation for waste water management and control system

Authors: Y. Divya; B. Achiammal; Santosh Kumar Sahoo

Addresses: Electronics and Instrumentation Engineering, Annamalai University, Tamilnadu, India; CVR College of Engineering, Hyderabad, India ' Electronics and Instrumentation Engineering, Annamalai University (Deputed to Government College of Technology), Coimbatore, India ' Electronics and Instrumentation Engineering, CVR College of Engineering, Hyderabad, India

Abstract: Protecting local ecosystems and people from hazardous substances in wastewater is the major objective of wastewater treatment facilities. An advanced wastewater management system is offered in this paper. The implemented work provides a very practical solution, optimal processing strategies, and formations of the control systems for the suggested task. After that, a stable evaluation is conducted by adding the pure water with the wastewater to recognise the concentration of the nitrogen and carbon that existed in the water. In this the control attributes such as internal rate of return, hydraulic retention time, external carbon's extra time and the starting time is optimally determined with the support of revamped fitness-based binary bamboo forest growth optimisation (RF-BBFGO). In addition, attributes such as effluent quality, pumping energy, and aeration energy are enhanced by the same IBBFGO scheme. Finally, the suggested wastewater management work is numerically validated to highlight the developed system's efficacy.

Keywords: waste water management; control system; control parameters optimisation; revamped fitness-based binary bamboo forest growth optimisation.

DOI: 10.1504/IJBRA.2024.141398

International Journal of Bioinformatics Research and Applications, 2024 Vol.20 No.4, pp.414 - 437

Received: 09 Jan 2024
Accepted: 21 May 2024
Published online: 10 Sep 2024 *

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