GA optimization of coconut sugar cooking process: A preliminary study using stochastic universal sampling (SUS) technique

GA optimization of coconut sugar cooking process: A preliminary study using stochastic universal sampling (SUS) technique

This study presents the optimization of cooking process for the coconut sugar. Designing the process control of cooking coconut sugar requires dynamic programming that uses nonlinear differential equations which could be difficult to model and analyze. The development of the optimization process wil...

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Bibliographic Details
Main Authors: Baldovino, Renann G., Bautista, Mary Grace Ann C., Aquino, Aaron U., Calilung, Edwin J., Sybingco, Edwin, Dadios, Elmer P.
Format: text
Published: Animo Repository 2017
Subjects:
Process control
Genetic algorithms
Sugar
Manufacturing
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/2773
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Institution: De La Salle University
Description
Summary:This study presents the optimization of cooking process for the coconut sugar. Designing the process control of cooking coconut sugar requires dynamic programming that uses nonlinear differential equations which could be difficult to model and analyze. The development of the optimization process will make use of genetic algorithm (GA) based approach using stochastic universal sampling as its selection process. The developed system will be incorporated for the automation of coconut sugar production. Factors associated in the drying of coconut sap like treatment time and color of the honey were considered in this study. © 2017 ACM.

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