Dynamic optimization of wastewater treatment process based on novel multi-objective ant lion optimization and deep learning algorithm-Reference-Cited by-同舟云学术

Dynamic optimization of wastewater treatment process based on novel multi-objective ant lion optimization and deep learning algorithm

Published:2022-04 Issue: Volume:345 Page:131140
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Niu Guoqiang,Li Xiaoyong^ORCID,Wan Xin^ORCID,He Xinzhong,Zhao Yinzhong,Yi Xiaohui,Chen Chen,Xujun Liang,Ying Guangguo,Huang Mingzhi^ORCID

Funder

National Natural Science Foundation of China

Fujian Provincial Natural Science Foundation

Natural Science Foundation of Guangdong Province

Guangzhou Science and Technology Program key projects

Guangdong Provincial Applied Science and Technology Research and Development Program

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment,Building and Construction

Reference41 articles.

1. Model predictive control of the waste water treatment plant based on the benchmark simulation model No.1-BSM1;Alex;Computer Aided Chemical Engineering,2008

2. Using machine learning and deep learning algorithms for stock price prediction;Arslankaya;Uluslararası Muhendislik Arastirma ve Gelistirme Dergisi,2021

3. Towards a global multi objective optimization of wastewater treatment plant based on modeling and genetic algorithms;Béraud;Water Sci. Technol.,2007

4. Application of biological and chemical processes to wastewater treatment;Chatzisymeon;Water,2021

5. Futures price prediction modeling and decision-making based on DBN deep learning;Chen;Intell. Data Anal.,2019

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction and optimization of wastewater treatment process effluent chemical oxygen demand and energy consumption based on typical ensemble learning models;Bioresource Technology;2024-11

2. Optimization control of wastewater treatment based on neural network and multi-objective optimization algorithm;Desalination and Water Treatment;2024-10

3. Unlocking synergies of drawdown operation: Multi-objective optimization of reservoir emergency storage capacity;Journal of Environmental Management;2024-09

4. A Novel Set-Based Discrete Particle Swarm Optimization for Wastewater Treatment Process Effluent Scheduling;IEEE Transactions on Cybernetics;2024-09

5. Multi-operating optimization control with domain adaptive for wastewater treatment operating process;SCIENTIA SINICA Technologica;2024-09-01