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

• 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
• Institution: De La Salle University

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.