Bulletin of Electrical Engineering and Informatics
Vol 11, No 3: June 2022

A novel hybrid jellyfish algorithm for minimizing fuel consumption capacitated vehicle routing problem

Dana Marsetiya Utama (University of Muhammadiyah Malang)
Bahru Widjonarko (University of Muhammadiyah Malang)
Dian Setiya Widodo (University of 17 Agustus 1945 Surabaya)



Article Info

Publish Date
01 Jun 2022

Abstract

Distribution is a critical activity that must be carefully planned in order to minimize the company's fuel costs. The hybrid jellyfish (HJF) algorithm is proposed in this study to solve the fuel consumption capacity vehicle routing problem (FCCVRP). This problem's objective function is to minimize fuel consumption costs. The proposed HJF algorithm is used in this study to generate optimal fuel consumption through a population and iteration parameter experiment. The experiment results indicate that the HJF increasing parameter has an effect on reducing the total cost of fuel. Additionally, this study presents an algorithm comparison that demonstrates how effectively the proposed HJF algorithm solves FCCVRP.

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Journal Info

Abbrev

EEI

Publisher

Subject

Electrical & Electronics Engineering

Description

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the ...