ERZURUM BÜYÜKŞEHİR BELEDİYESİ İÇİN KLONAL SEÇİM ALGORİTMASI KULLANILARAK EN KISA YOL TESPİTİ

Yıl 2017, Cilt: 3 Sayı: 2, 138 - 142, 24.12.2017

Abdullah Naralan , Salih Serkan Kaleli , Mehmet Bayğın

https://doi.org/10.22531/muglajsci.357621

Cited By: 3

Öz

Optimizasyon
algoritmaları günlük yaşamdaki birçok problemi çözmeye yarayan ve genellikle
büyük bir çözüm uzayına sahip problemlerde optimal çözümü tespit etmeye yarayan
yaklaşımlar bütünüdür. Bu çalışmada yapay bağışıklık sisteminin alt yöntemi
olan klonal seçim algoritması kullanılarak bir optimum rota tespit yaklaşımı
geliştirilmiştir. Bu amaçla Erzurum Büyükşehir Belediyesinden temin edilen
karayolu yolcu taşıma ağı modellenmiş olup, bu ağdan seçilen ve hali hazırda
kullanılan bir otobüs hattı klonal seçim algoritması ile incelenmiştir.
Önerilen yaklaşım için geliştirilen optimizasyon yöntemi MATLAB ortamında
gerçekleştirilmiş ve elde edilen sonuçlar Google Maps üzerinde karşılaştırmalı
olarak çizdirilmiştir. Önerilen yöntemin performansı test edilmiş ve elde
edilen sonuçlara göre yaklaşık %10’luk bir performans artışı sağlanmıştır. 

Anahtar Kelimeler

En Kısa Yol Tespiti, Klonal Seçim Algoritması, Optimizasyon, Gezgin-Satıcı, Yapay Bağışıklık Sistem

SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY

Öz

Optimization algorithms
are an approach to solving many problems in everyday life and usually to find
the optimal solution for problems with a large solution space. In this study,
an optimal route detection approach was developed using the clonal selection
algorithm which is a sub-method of the artificial immune system. For this
purpose, the road passenger transport network obtained from Erzurum Metropolitan
Municipality has been modeled and a bus line which is selected and used from
this network has been examined by clonal selection algorithm. The optimization
method developed for the proposed approach was implemented in the MATLAB
environment and the results obtained are plotted comparatively on Google Maps.
The performance of the proposed method was tested and a performance improvement
of about 10% was achieved according to the results obtained.

Anahtar Kelimeler

Shortest Path Detection, Clonal Selection Algorithm, Optimization, Traveling Salesman, Artificial Immune System

Kaynakça

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