research-article

GA Optimization of Coconut Sugar Cooking Process: A Preliminary Study using Stochastic Universal Sampling (SUS) Technique

Authors:

Renann G. Baldovino,

Mary Grace Ann C. Bautista,

Aaron U. Aquino,

Edwin J. Calilung,

Edwin Sybingco,

Elmer P. DadiosAuthors Info & Claims

ICCAE '17: Proceedings of the 9th International Conference on Computer and Automation Engineering

Pages 346 - 349

https://doi.org/10.1145/3057039.3057064

Published: 18 February 2017 Publication History

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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.

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Bautista MSuganob NConcepcion RBandala ADadios E(2023)Automated Cooking Systems: Benefits, Challenges, and Future Directions2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)10.1109/HNICEM60674.2023.10589209(1-6)Online publication date: 19-Nov-2023
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ICCAE '17: Proceedings of the 9th International Conference on Computer and Automation Engineering

February 2017

365 pages

ISBN:9781450348096

DOI:10.1145/3057039

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 February 2017

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ICCAE '17: 9th International Conference on Computer and Automation Engineering

February 18 - 21, 2017

Sydney, Australia

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Bautista MSuganob NConcepcion RBandala ADadios E(2023)Automated Cooking Systems: Benefits, Challenges, and Future Directions2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)10.1109/HNICEM60674.2023.10589209(1-6)Online publication date: 19-Nov-2023
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A Neuro-Fuzzy Mixing Control Model for the Cooking Process of Coconut Sugar

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