Multi-trial Vector-based Whale Optimization Algorithm

Nadimi-Shahraki, Mohammad H.; Farhanginasab, Hajar; Taghian, Shokooh; Sadiq, Ali Safaa; Mirjalili, Seyedali

doi:10.1007/s42235-024-00493-8

J Bionic Eng

2024

DOI: 10.1007/s42235-024-00493-8

|View full text |Cite

Multi-trial Vector-based Whale Optimization Algorithm

Mohammad H. Nadimi-Shahraki,

Hajar Farhanginasab,

Shokooh Taghian

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 127 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

DHRDE: Dual-population hybrid update and RPR mechanism based differential evolutionary algorithm for engineering applications

Hu,

Gong,

Shu

et al. 2024

Computer Methods in Applied Mechanics and Engineering

View full text Add to dashboard Cite

DHRDE: Dual-population hybrid update and RPR mechanism based differential evolutionary algorithm for engineering applications

Hu,

Gong,

Shu

et al. 2024

Computer Methods in Applied Mechanics and Engineering

View full text Add to dashboard Cite

PM2.5 prediction based on modified whale optimization algorithm and support vector regression

Liu,

Huang,

Wang

2024

Sci Rep

View full text Add to dashboard Cite

In order to obtain the pattern of variation of PM 2.5 concentrations in the atmosphere in Nanchang City, we build a Support Vector Regression(SVR) with modified Whale Optimization Algorithm(WOA) hybrid model (namely mWOA-SVR model) that can predict the PM 2.5 concentration. Firstly, according to the Pearson correlation coefficient (PCC) method to examine the dynamic relationship between air pollutants and meteorological factors together with them, PM 10 , SO 2 and CO were selected as air pollutant concentration characteristics, while daily maximum and minimum temperatures, and wind power levels were selected as meteorological characteristics; then, using modified WOA algorithm for parameter selection of SVR model, four sets of better parameter combinations were found; finally, the mWOA-SVR model was built by the four sets parameters to predict PM 2.5 concentration. The results show that the prediction accuracy of mixed mWOA-SVR model with pollutant concentration plus weather factors as the feature was higher than single pollutant concentration. Supplementary Information The online version contains supplementary material available at 10.1038/s41598-024-74122-z.

show abstract

Underwater image enhancement based on optimally weighted histogram framework and improved Fick’s law algorithm

Liu,

Qiao,

et al. 2024

Sci Rep

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Multi-trial Vector-based Whale Optimization Algorithm

Cited by 3 publications

References 127 publications

DHRDE: Dual-population hybrid update and RPR mechanism based differential evolutionary algorithm for engineering applications

DHRDE: Dual-population hybrid update and RPR mechanism based differential evolutionary algorithm for engineering applications

PM2.5 prediction based on modified whale optimization algorithm and support vector regression

Underwater image enhancement based on optimally weighted histogram framework and improved Fick’s law algorithm

Contact Info

Product

Resources

About