University of Bahrain
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Optimization using Genetic Algorithm in Food Composition

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dc.contributor.author Adriyendi
dc.contributor.author Melia, Yeni
dc.date.accessioned 2020-07-16T13:44:00Z
dc.date.available 2020-07-16T13:44:00Z
dc.date.issued 2020-07-01
dc.identifier.issn 2210-142X
dc.identifier.uri https://journal.uob.edu.bh:443/handle/123456789/3927
dc.description.abstract This paper aims to process daily food consumption based on the Guideline to Healthy Food or the principle of Healthy 4 Perfect 5 (H4P5). The Guideline to Healthy Food does not include the portion and size of daily food consumption, therefore it is perfected into the Guidelines to Balanced Nutrition (GBN). GBN is performed by consuming three servings of protein vegetables, three servings of animal protein, eight servings of carbohydrates, five servings of vegetables, five servings of fruits, and eight servings of water. Each part of the portion has a proportional size and dose based on GBN. The portions are measured by food composition using the optimization process using a Genetic Algorithm (GA). Optimization by using Genetic Algorithm yielded three outputs, namely, first, the initial objective function (0) compared to the generative objective function (1) produces a value of 6.13: 4.72 (there is an increase in chromosomes, because, the smaller the value, the better the chromosome is). Second, probability mutation is 50% of mutation rate, crossover probability is 5%, the maximum generation is 36, the maximum fitness point is 0.240806, and the size of the population is 6. Third, optimization using the Genetic Algorithm in food composition produces one model solution food, one consumption model, and two composition models. Thus, the result of this research can be a recommendation for food consumption patterns and a reference for national food consumption policies. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject optimization, genetic algorithm, food composition en_US
dc.title Optimization using Genetic Algorithm in Food Composition en_US
dc.volume 10 en_US
dc.pagestart 1 en_US
dc.pageend 11 en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US


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