Grey wolf optimizer for parameter identification of an activated sludge process model-Reference-Cited by-同舟云学术

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Grey wolf optimizer for parameter identification of an activated sludge process model

Published:2023-03-09 Issue:20 Volume:27 Page:15293-15304
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Khoja Intissar^ORCID,Majdoub Nesrine,Ladhari Taoufik,M’Sahli Faouzi,Sakly Anis

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-07952-0.pdf

Reference36 articles.

1. Ahmed F (2007) Effects of cation addition on the flocculation behaviour of activated sludge at applied constant shear force, Master’s thesis.

2. Anam S, Kumaralalita I (2019) Grey wolf optimizer for parameter estimation of enzymatic reaction in biodiesel synthesis. IOP Conf Ser Mater Sci Eng 546(5):052005

3. Angelova M, Roeva O, Pencheva T (2018) Cuckoo search algorithm for parameter identification of fermentation process model. In: International conference on numerical methods and applications. Springer, 39–47

4. Geleta DK, Manshahia MS, Vasant P, Banik A (2020) Grey wolf optimizer for optimal sizing of hybrid wind and solar renewable energy system. In: Computational intelligence

5. Gomez-Quintero C (2002) Modélisation et estimation robuste pour un procédé boues activées en alternance de phases. Doctoral thesis.

Cited by 1 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. Fuzzy-High-Gain Observer for States and Unknown Inputs Estimation of an Activated Sludge Process;2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET);2024-04-27

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