Quantitative structure-property relationship modelling for predicting retention indices of essential oils based on an improved horse herd optimization algorithm

Quantitative structure-property relationship modelling for predicting retention indices of essential oils based on an improved horse herd optimization algorithm

The horse herd optimization algorithm (HOA), one of the more contemporary metaheuristic algorithms, has demonstrated superior performance in a number of challenging optimization tasks. In the present work, the descriptor selection issue is resolved by classifying different essential oil retention in...

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Bibliographic Details
Main Authors: Alharthi, Aiedh Mrisi, Kadir, Dler Hussein, Al-Fakih, Abdo Mohammed, Algamal, Zakariya Y., Al-Thanoon, Niam Abdulmunim, Khalid Qasim, Maimoonah
Format: Article
Published: Taylor & Francis Group 2023
Subjects:
QD Chemistry
Online Access:http://eprints.utm.my/106730/
http://dx.doi.org/10.1080/1062936X.2023.2261855
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Institution: Universiti Teknologi Malaysia

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http://eprints.utm.my/106730/
http://dx.doi.org/10.1080/1062936X.2023.2261855

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