MENYELESAIKAN VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA FUZZY EVOLUSI

The purpose of this research is to know the performance of Fuzzy Evolutionary Algorithm in solving one type of Vehicle Routing Problem that is Capacitated Vehicle Routing Problem (CVRP). There are 8 different CVRP data to be solved. The performance of the algorithm can be determined by comparing the...

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Main Authors: I PUTU ARYA YOGA SUMADI, I PUTU EKA NILA KENCANA, LUH PUTU IDA HARINI
Format: Article
Language:English
Published: Universitas Udayana 2018-09-01
Series:E-Jurnal Matematika
Online Access:https://ojs.unud.ac.id/index.php/mtk/article/view/41902
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author I PUTU ARYA YOGA SUMADI
I PUTU EKA NILA KENCANA
LUH PUTU IDA HARINI
author_facet I PUTU ARYA YOGA SUMADI
I PUTU EKA NILA KENCANA
LUH PUTU IDA HARINI
author_sort I PUTU ARYA YOGA SUMADI
collection DOAJ
description The purpose of this research is to know the performance of Fuzzy Evolutionary Algorithm in solving one type of Vehicle Routing Problem that is Capacitated Vehicle Routing Problem (CVRP). There are 8 different CVRP data to be solved. The performance of the algorithm can be determined by comparing the value obtained by AFE with the optimal value of the data. The result of this research is fuzzy evolution algorithm yields the best average relative error from all data for distance that is equal to 69,5855% and for minimum vehicle equal to 26%.
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spelling doaj.art-9b898726c056433fbe828984fd5158c72022-12-22T03:35:18ZengUniversitas UdayanaE-Jurnal Matematika2303-17512018-09-017325225810.24843/MTK.2018.v07.i03.p21141902MENYELESAIKAN VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA FUZZY EVOLUSII PUTU ARYA YOGA SUMADI0I PUTU EKA NILA KENCANA1LUH PUTU IDA HARINI2Udayana UniversityUdayana UniversityUdayana UniversityThe purpose of this research is to know the performance of Fuzzy Evolutionary Algorithm in solving one type of Vehicle Routing Problem that is Capacitated Vehicle Routing Problem (CVRP). There are 8 different CVRP data to be solved. The performance of the algorithm can be determined by comparing the value obtained by AFE with the optimal value of the data. The result of this research is fuzzy evolution algorithm yields the best average relative error from all data for distance that is equal to 69,5855% and for minimum vehicle equal to 26%.https://ojs.unud.ac.id/index.php/mtk/article/view/41902
spellingShingle I PUTU ARYA YOGA SUMADI
I PUTU EKA NILA KENCANA
LUH PUTU IDA HARINI
MENYELESAIKAN VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA FUZZY EVOLUSI
E-Jurnal Matematika
title MENYELESAIKAN VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA FUZZY EVOLUSI
title_full MENYELESAIKAN VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA FUZZY EVOLUSI
title_fullStr MENYELESAIKAN VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA FUZZY EVOLUSI
title_full_unstemmed MENYELESAIKAN VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA FUZZY EVOLUSI
title_short MENYELESAIKAN VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA FUZZY EVOLUSI
title_sort menyelesaikan vehicle routing problem menggunakan algoritma fuzzy evolusi
url https://ojs.unud.ac.id/index.php/mtk/article/view/41902
work_keys_str_mv AT iputuaryayogasumadi menyelesaikanvehicleroutingproblemmenggunakanalgoritmafuzzyevolusi
AT iputuekanilakencana menyelesaikanvehicleroutingproblemmenggunakanalgoritmafuzzyevolusi
AT luhputuidaharini menyelesaikanvehicleroutingproblemmenggunakanalgoritmafuzzyevolusi