Comparative analysis of genetic crossover operators for the p-median facility location problem

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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.