Neural networks for facility location problems

TitleNeural networks for facility location problems
Publication TypeJournal Article
Year of Publication2019
AuthorsHaralampiev V
JournalAnnuaire de l’Université de Sofia “St. Kliment Ohridski”. Faculté de Mathématiques et Informatique
Volume106
Start Page3
Pagination3-10
ISSN1313-9215 (Print) 2603-5529 (Online)
Keywordscombinatorial optimization, facility location, Neural networks
Abstract

This paper presents a new self-organizing neural network approach for solving graph-based facility location problems. It is designed to have small amount of parameters and to not need much tuning. We test our approach on several groups of problems and show that it consistently finds good feasible solutions.

DOI10.60063/GSU.FMI.106.3-10
2010 MSC

62M45, 90C27

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