Knowledge Engineering and Data Science
Vol 2, No 2 (2019)

Optimisation of Rice Fertiliser Composition using Genetic Algorithms

Retno Dewi Anissa (Universitas Brawijaya)
Wayan Firdaus Mahmudy ((SCOPUS ID:55779190600 , Universitas Brawijaya))
Agus Wahyu Widodo (Unversitas Brawijaya)



Article Info

Publish Date
23 Dec 2019

Abstract

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.

Copyrights © 2019






Journal Info

Abbrev

keds

Publisher

Subject

Computer Science & IT Engineering

Description

Knowledge Engineering and Data Science (2597-4637), KEDS, brings together researchers, industry practitioners, and potential users, to promote collaborations, exchange ideas and practices, discuss new opportunities, and investigate analytics frameworks on data-driven and knowledge base ...