@article{article_357621, title={SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY}, journal={Mugla Journal of Science and Technology}, volume={3}, pages={138–142}, year={2017}, DOI={10.22531/muglajsci.357621}, author={Naralan, Abdullah and Kaleli, Salih Serkan and Bayğın, Mehmet}, keywords={En Kısa Yol Tespiti,Klonal Seçim Algoritması,Optimizasyon,Gezgin-Satıcı,Yapay Bağışıklık Sistem}, abstract={<span lang="tr" xml:lang="tr">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. </span> <br />}, number={2}, publisher={Muğla Sıtkı Koçman Üniversitesi}