MENYELESAIKAN VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA FUZZY EVOLUSI

Abstract

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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Author Biographies

I PUTU ARYA YOGA SUMADI, Udayana University

Program studi Matematika, Fakultas MIPA – Universitas Udayana

I PUTU EKA NILA KENCANA, Udayana University

Program studi Matematika, Fakultas MIPA – Universitas Udayana

LUH PUTU IDA HARINI, Udayana University

Program studi Matematika, Fakultas MIPA – Universitas Udayana

Published
2018-09-02
How to Cite
SUMADI, I PUTU ARYA YOGA; KENCANA, I PUTU EKA NILA; HARINI, LUH PUTU IDA. MENYELESAIKAN VEHICLE ROUTING PROBLEM MENGGUNAKAN ALGORITMA FUZZY EVOLUSI. E-Jurnal Matematika, [S.l.], v. 7, n. 3, p. 252-258, sep. 2018. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/41902>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.24843/MTK.2018.v07.i03.p211.
Section
Articles