Comparative analysis of genetic crossover operators for the p-median facility location problem
Yükleniyor...
Dosyalar
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selçuk Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The p-median problem is a well-known combinatorial optimization problem with various formulations and many real-life applications. In this study, the performance of genetic algorithm (GA) with different crossover operators is studied. Well-known test problems in the literature are used to test the performance of crossover operators. The comparative experimental results show that the two-point crossover operator and the operator that randomly uses the one-point and twopoint crossover operators can effectively solve problems represented by direct value coding, such as the p-median facility location problem.
Açıklama
Anahtar Kelimeler
Crossover operators, Facility location, Genetic algorithm, P-median
Kaynak
Selcuk University Journal of Engineering Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
21
Sayı
01
Künye
Erdoğmuş, N. N., Ervural, B., Haklı, H., (2022). Comparative analysis of genetic crossover operators for the p-median facility
location problem. Selcuk University Journal of Engineering Sciences, 21, (01), 32-38.
