An Efficient Hybrid of an Ant Lion Optimizer and Genetic Algorithm for a Model Parameter Identification Problem
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Leila Ezzatzadegan & Rubiyah Yusof & Noor Azian Morad & Parvaneh Shabanzadeh & Nur Syuhana Muda & Tohid N. Borhani, 2021. "Experimental and Artificial Intelligence Modelling Study of Oil Palm Trunk Sap Fermentation," Energies, MDPI, vol. 14(8), pages 1-22, April.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Xu, Weiyan & Tu, Jielei & Xu, Ning & Liu, Zuming, 2024. "Predicting daily heating energy consumption in residential buildings through integration of random forest model and meta-heuristic algorithms," Energy, Elsevier, vol. 301(C).
- Olympia Roeva & Gergana Roeva & Elena Chorukova, 2024. "Crow Search Algorithm for Modelling an Anaerobic Digestion Process: Algorithm Parameter Influence," Mathematics, MDPI, vol. 12(15), pages 1-20, July.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Naveed, Muhammad Hamza & Khan, Muhammad Nouman Aslam & Mukarram, Muhammad & Naqvi, Salman Raza & Abdullah, Abdullah & Haq, Zeeshan Ul & Ullah, Hafeez & Mohamadi, Hamad Al, 2024. "Cellulosic biomass fermentation for biofuel production: Review of artificial intelligence approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
More about this item
Keywords
ant lion optimizer; genetic algorithm; parameter identification; Escherichia coli ; cultivation process;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:6:p:1292-:d:1090505. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.