Research Article | OPEN ACCESS
Optimized Evaluation System to Athletic Food Safety
Shanshan Li
Sichuan University, Sichuan, China
Advance Journal of Food Science and Technology 2015 10:821-823
Received: October 22, 2014 | Accepted: December 18, 2014 | Published: April 05, 2015
Abstract
This study presented a new method of optimizing evaluation function in athletic food safety information programming by particle swarm optimization. The process of food information evaluation function is to automatically adjust these parameters in the evaluation function by self-optimizing method accomplished through competition, which is a food information system plays against itself with different evaluation functions. The results show that the particle swarm optimization is successfully applied to optimize the evaluation function in athletic food safety and the performance of the presented program is effectively improved after many experiences.
Keywords:
Athletic food safety, optimized evaluation system, optimizing evaluation function,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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