Optimization of school location-allocation using Firefly Algorithm

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3 Citations (Scopus)


The zoning policy of Indonesia New Student Admission System encourages schools to accept more students from their zoning location. This condition needs to be supported by a good management to ensure that the school facilities suffice the student distribution. School location-allocation optimization problem aims to obtain optimum student distribution such that the total of students travel distance is minimized. This problem is modeled as p-median problem, and can be solved using meta-heuristic approach. In this study, firefly algorithm with two-dimensional firefly individual representation is utilized to solve South Jakarta junior school location-allocation problem. The obtained solution lowers 57.58% of student travel distance compared to the previous condition assuming that favorite schools are tend to be chosen by students.

Original languageEnglish
Article number012002
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 19 Jul 2019
Event3rd International Conference on Computing and Applied Informatics 2018, ICCAI 2018 - Medan, Sumatera Utara, Indonesia
Duration: 18 Sep 201819 Sep 2018


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