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Best-Fit Strategy for Optimal Location of Petroleum Filling Stations using Genetic Algorithm and Geographical Information System

by Akinwonmi A.E., Oluwadare S.A., Ajayi B.T.
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 24
Year of Publication: 2024
Authors: Akinwonmi A.E., Oluwadare S.A., Ajayi B.T.
10.5120/ijca2024923707

Akinwonmi A.E., Oluwadare S.A., Ajayi B.T. . Best-Fit Strategy for Optimal Location of Petroleum Filling Stations using Genetic Algorithm and Geographical Information System. International Journal of Computer Applications. 186, 24 ( Jun 2024), 50-57. DOI=10.5120/ijca2024923707

@article{ 10.5120/ijca2024923707,
author = { Akinwonmi A.E., Oluwadare S.A., Ajayi B.T. },
title = { Best-Fit Strategy for Optimal Location of Petroleum Filling Stations using Genetic Algorithm and Geographical Information System },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2024 },
volume = { 186 },
number = { 24 },
month = { Jun },
year = { 2024 },
issn = { 0975-8887 },
pages = { 50-57 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number24/best-fit-strategy-for-optimal-location-of-petroleum-filling-stations-using-genetic-algorithm-and-geographical-information-system/ },
doi = { 10.5120/ijca2024923707 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-06-27T00:56:26.996678+05:30
%A Akinwonmi A.E.
%A Oluwadare S.A.
%A Ajayi B.T.
%T Best-Fit Strategy for Optimal Location of Petroleum Filling Stations using Genetic Algorithm and Geographical Information System
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 24
%P 50-57
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A petroleum filling station is a type of facility used for the sales or dispensing of petroleum products such as Premium Motor Spirit (PMS), Automated Gas Oil (AGO), Dual Purpose Kerosene (DPK), Lubricating Oil (LubOil) and Liquefied Petroleum Gas (LPG) amongst others, to automobiles and other users. Best fit location of facilities is a decision-making problem. The proper location of public and private facilities within a city is one of the demands required by town planners and urban planning development agencies. Apart from reduced property values and, the added threat of accidents and fire disasters, the poor location of facilities also comes with other considerable hazards to the environment and its inhabitants. The proposed approach for the optimal location of petroleum filling stations is a best-fit strategy using Genetic Algorithms (GA) and Geographical Information Systems (GIS). A multi-objective function was formulated taking into consideration the requirements of the regulatory body - the Department of Petroleum Resources (DPR) and consumer demand. The genetic algorithm models were implemented using MATLAB while data analysis was carried out in ArcGIS version 10 and Microsoft Excel. The model was tested using locations of filling stations in Akure, Ondo State, Nigeria as a case study. It was observed that only 34% of the existing filling stations in the Akure metropolis were found to satisfy the minimum spacing requirement set by the DPR. The model was able to re-allocate filling stations that do not meet the requirements of the DPR. It was also, able to propose the coordinates for a new petrol filling station.

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Index Terms

Computer Science
Information Sciences

Keywords

Petrol filling station facility location optimization Genetic Algorithm (GA) Geographical Information Systems (GIS) Optimal allocation Minimum spacing Multi-objective K-nearest Neighbor (KNN) Spatial analysis facility planning

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