UPM Institutional Repository

Optimizing effect of frying cycles on cooking oil properties using particle swarm optimization


Citation

Jalo, Abdulmumini Salihu and Ishak, Asnor Juraiza and Che Soh, Azura and Abdul Rahman, Ribhan Zafira and Shamsudin, Rosnah (2015) Optimizing effect of frying cycles on cooking oil properties using particle swarm optimization. In: 10th Asian Control Conference (ASCC 2015), 31 May-3 June 2015, Kota Kinabalu, Sabah. .

Abstract

In this paper, Particle swarm optimization (PSO) technique has been proposed to evaluate the quality of recycled cooking palm oil. This technique proved to be the most powerful and robust technique in the modern era. The sensitivity of the threat by used cooking oil on public health and the complex nature and laborious approaches of evaluating the oil will be overcome through the proposed algorithm. The findings in this study have revealed that the appropriate temperature in degree centigrade (°C), of grading cooking oil is higher than 200°C for both the TPC and FFA. The study also portrays none significant differences between PSO and GA in terms of optimum estimated value, fitness and temperature. The findings conclude that it is better to evaluate TPC and FFA of used oil at higher temperatures than at low temperatures.


Download File

[img]
Preview
Text (Abstract)
Optimizing effect of frying cycles on cooking oil properties using particle swarm optimization.pdf

Download (34kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/ASCC.2015.7244709
Publisher: IEEE
Keywords: Particle swarm optimization (PSO); Grading quality of recycled cooking oil
Depositing User: Nabilah Mustapa
Date Deposited: 10 May 2019 08:31
Last Modified: 10 May 2019 08:31
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ASCC.2015.7244709
URI: http://psasir.upm.edu.my/id/eprint/68334
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item