文章基本信息

标题：Optimisation of Rice Fertiliser Composition using Genetic Algorithms
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作者：Retno Dewi Anissa ; Wayan Firdaus Mahmudy ; Agus Wahyu Widodo 等
期刊名称：Knowledge Engineering and Data Science
印刷版ISSN：2597-4602
电子版ISSN：2597-4637
出版年度：2019
卷号：2
期号：2
页码：72-81
DOI：10.17977/um018v2i22019p72-81
出版社：Universitas Negeri Malang
摘要：There are so many problems with food scarcity. One of them is not too good rice quality. So, an enhancement in rice production through an optimal fertiliser composition. Genetic algorithm is used to optimise the composition for a more affordable price. The process of genetic algorithm is done by using a representation of a real code chromosome. The reproduction process using a one-cut point crossover and random mutation, while for the selection using binary tournament selection process for each chromosome. The test results showed the optimum results are obtained on the size of the population of 10, the crossover rate of 0.9 and the mutation rate of 0.1. The amount of generation is 10 with the best fitness value is generated is equal to 1,603.
其他摘要：There are so many problems with food scarcity. One of them is not too good rice quality. So, an enhancement in rice production through an optimal fertiliser composition. Genetic algorithm is used to optimise the composition for a more affordable price. The process of genetic algorithm is done by using a representation of a real code chromosome. The reproduction process using a one-cut point crossover and random mutation, while for the selection using binary tournament selection process for each chromosome. The test results showed the optimum results are obtained on the size of the population of 10, the crossover rate of 0.9 and the mutation rate of 0.1. The amount of generation is 10 with the best fitness value is generated is equal to 1,603.
关键词：Genetic algorithm;Optimisation;Fertilizer composition;Rice