Improving kinetic model fitting for total titratable acidity in bananas using genetic algorithms

Improving kinetic model fitting for total titratable acidity in bananas using genetic algorithms

This research aimed to automate the fitting of kinetic models using genetic algorithms (GAs) to optimize the estimation of kinetic parameters—the reaction rate constant (k) and the initial value of total titratable acidity (TTA, C₀)—and enhance predictive accuracy. Experimental data were collected...

Full description

Saved in:
Bibliographic Details
Main Authors: Alejandro Kevin Méndez Castillo, Elizabeth Contreras López, Jesús Guadalupe Pérez Flores, Laura García Curiel, Emmanuel Pérez Escalante, Karla Soto Vega, Carlos Ángel-Jijón, Alicia Cervantes Elizarrarás
Format: Article
Language:English
Published: Universidad Autónoma de Chihuahua 2025-06-01
Series:Tecnociencia Chihuahua
Subjects:
ripening kinetics
genetic algorithms
parameter estimation
post-harvest modeling
TTA decreasing
food quality
Online Access:https://revistascientificas.uach.mx/index.php/tecnociencia/article/view/1847
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items