An effective exploration on water waste management problems using computational intelligence based techniques of optimization
*Ashok PalCorresponding authormuskanaggarwal23012002@gmail.comDepartment of MathematicsChandigarh UniversityMohali, Punjab, 140413, IndiaView full profile → , Mandeep Kaurmandeep2817@gmail.comDepartment of MathematicsPunjabi UniversityPatiala, Punjab, 147002, IndiaView full profile → , Muskan Aggarwalashokpmaths.iitr@gmail.comDepartment of MathematicsChandigarh UniversityMohali, Punjab, 140413, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 11 Sep 2024
- Published Online:
- 05 Apr 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1796
- Pages:
- 773–782
Abstract
Keywords
Subject Classifications
References
[1] N. D. Viet, D. Jang, Y. Yoon, and A. Jang, “Enhancement of membrane system performance using artificial intelligence technologies for sustainable water and wastewater treatment: A critical review,” Crit. Rev. Environ. Sci. Technol., vol. 52, no. 20, pp. 3689–3719 (2022).
[2] J. Ni, L. Wu, X. Fan, and S. X. Yang, “Bioinspired intelligent algorithm and its applications for mobile robot control: A survey,” Comput. Intell. Neurosci., vol. 2016, pp. 1–1 (2016).
[3] A. Sharma, N. Mani, R. Arora, and R. Bhardwaj, “Power Einstein aggregation operators of intuitionistic fuzzy sets and their application in MADM,” Strategic Fuzzy Extensions and Decision-making Techniques (2024).
[4] A. Jain, S. Tiwari, and N. Mani, “Qualifying Lemon Scab Severity: Autoencoder and XGBoost in a Hybrid Approach,” in Doctoral Symposium on Computational Intelligence, pp. 531-542 (2024).
[5] A. Sehgal and N. Mani, “Road Traffic Anomalies Detection Using Deep Learning Algorithm and Computational Data Science,” in International Conference on Business Intelligence and Data Analytics, pp. 619-631 (2025).
[6] S. Sengupta, S. Basak, and R. A. Peters, “Particle swarm optimization: A survey of historical and recent developments with hybridization perspectives,” Mach. Learn. Knowl. Extr., vol. 1, no. 1, pp. 157–191 (2018).
[7] R. M. Clark, S. Hakim, and A. Ostfeld, Handbook of Water and Wastewater Systems Protection, vol. 2. New York, NY, USA: Springer (2011).
[8] S. R. Krishnan, P. K. Joshi, S. S. Murthy, and R. G. Kumar, “Smart water resource management using artificial intelligence—A review,” Sustainability, vol. 14, no. 20, p. 13384 (2022).
[9] A. Zanfei, A. L. R. Díaz, F. R. Sánchez, and S. J. N. Gamboa, “An ensemble neural network model to forecast drinking water consumption,” J. Water Resour. Plann. Manag., vol. 148, no. 5, p. 04022014 (2022).
[10] J. Chu, J. Chen, C. Wang, and P. Fu, “Wastewater reuse potential analysis: Implications for China’s water resources management,” Water Res., vol. 38, no. 11, pp. 2746–2756 (2004).
[11] M. Verdaguer, N. Clara, and M. Poch, “Ant colony optimization-based method for managing industrial influents in wastewater systems,” AIChE J., vol. 58, no. 10, pp. 3070–3079 (2012).
[12] Z. Zhang, A. Kusiak, Y. Zeng, and X. Wei, “Modeling and optimization of a wastewater pumping system with data-mining methods,” Appl. Energy, vol. 164, pp. 303–311 (2016).
[13] M. Verdaguer, N. Clara, H. Monclús, and M. Poch, “A step forward in the management of multiple wastewater streams by using an ant colony optimization-based method with bounded pheromone,” Process Saf. Environ. Prot., vol. 102, pp. 799–809 (2016).
[14] M. Yousefi, M. E. Banihabib, J. Soltani, and A. Roozbahani, “Multi-objective particle swarm optimization model for conjunctive use of treated wastewater and groundwater,” Agric. Water Manag., vol. 208, pp. 224–231 (2018).
[15] X. Ye, B. Chen, L. Jing, B. Zhang, and Y. Liu, “Multi-agent hybrid particle swarm optimization (MAHPSO) for wastewater treatment network planning,” J. Environ. Manag., vol. 234, pp. 525–536 (2019).
[16] M. G. Mooselu, M. Ghorbani, M. R. Nikoo, M. Latifi, M. Sadegh, M. Al-Wardy, and G. A. Al-Rawas, “A multi-objective optimal allocation of treated wastewater in urban areas using leader-follower game,” J. Clean. Prod., vol. 267, p. 122189 (2020).
[17] N. J. Bravo, A. T. Espinoza Pérez, and Ó. C. Vásquez, “Toward a sustainable system of wastewater treatment plants in Chile: A multi-objective optimization approach,” Ann. Oper. Res., vol. 311, no. 2, pp. 731–747 (2022).
[18] H. Dai, X. Zhang, Y. Wu, Y. Liu, and L. Zhang, “Modeling and optimizing of an actual municipal sewage plant: A comparison of diverse multi-objective optimization methods,” J. Environ. Manag., vol. 328, p. 116924 (2023).
[19] K. G. Aparna and R. Swarnalatha, “Dynamic optimization of a wastewater treatment process for sustainable operation using multi-objective genetic algorithm and non-dominated sorting cuckoo search algorithm,” J. Water Process Eng., vol. 53, p. 103775 (2023).
[20] A. Ahmad and A. K. Yadav, “Parametric analysis of wastewater electrolysis for green hydrogen production: A combined RSM, genetic algorithm, and particle swarm optimization approach,” Int. J. Hydrogen Energy, vol. 59, pp. 51–62 (2024).
