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

Authors

Renann G. Baldovino, De La Salle University, Manila
Mary Grace Ann C. Bautista, De La Salle University, Manila
Aaron U. Aquino, De La Salle University, Manila
Edwin J. Calilung, De La Salle University, Manila
Edwin Sybingco, De La Salle University, Manila
Elmer P. Dadios, De La Salle University, Manila

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Document Type

Conference Proceeding

Source Title

ACM International Conference Proceeding Series

Volume

Part F127852

First Page

346

Last Page

349

Publication Date

2-18-2017

Abstract

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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Digitial Object Identifier (DOI)

10.1145/3057039.3057064

Recommended Citation

Baldovino, R. G., Bautista, M. C., Aquino, A. U., Calilung, E., Sybingco, E., & Dadios, E. P. (2017). GA optimization of coconut sugar cooking process: A preliminary study using stochastic universal sampling (SUS) technique. ACM International Conference Proceeding Series, Part F127852, 346-349. https://doi.org/10.1145/3057039.3057064

Disciplines

Manufacturing

Keywords

Process control; Genetic algorithms; Sugar

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