Conference Paper

SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY

Volume: 3 Number: 2 December 24, 2017
TR EN

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

Abstract

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. 

Keywords

References

  1. Abeysundara, S., Giritharan, B., and Kodithuwakku, S., “A Genetic algorithm approach to solve the shortest path problem for road maps”, In Proceedings of the International Conference on Information and Automation, pp. 272-275, 2005.
  2. Barketau, M., and Pesch, E., “An approximation algorithm for a special case of the asymmetric travelling salesman problem”, International Journal of Production Research, vol. 54, no. 14, pp. 4205-4212, 2016.
  3. Dorigo, M., and Gambardella, L. M., “Ant-Q: A reinforcement learning approach to the traveling salesman problem”, In Proceedings of ML-95, Twelfth Intern. Conf. on Machine Learning, pp. 252-260, 2016.
  4. Bartal, Y., Gottlieb, L. A., and Krauthgamer, R., “The traveling salesman problem: low-dimensionality implies a polynomial time approximation scheme”, SIAM Journal on Computing, vol. 45, no. 4, pp. 1563-1581, 2016.
  5. Osaba, E., Yang, X. S., Diaz, F., Lopez-Garcia, P., and Carballedo, R., “An improved discrete bat algorithm for symmetric and asymmetric Traveling Salesman Problems”, Engineering Applications of Artificial Intelligence, vol. 48, pp. 59-71, 2016.
  6. Mahi, M., Baykan, Ö. K., and Kodaz, H., “A new hybrid method based on particle swarm optimization, ant colony optimization and 3-opt algorithms for traveling salesman problem”, Applied Soft Computing, vol. 30, pp. 484-490, 2015.
  7. Dikmen, H., Dikmen, H., Elbir, A., Eksi Z., and Çelik, F., “Gezgin satıcı probleminin karınca kolonisi ve genetik algoritmalarla eniyilemesi ve karşılaştırılması”, Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 18, no. 1, pp. 8-13, 2014.
  8. Groba, C., Sartal, A., and Vázquez, X. H., “Solving the dynamic traveling salesman problem using a genetic algorithm with trajectory prediction: An application to fish aggregating devices”, Computers & Operations Research, vol. 56, pp. 22-32, 2015.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Conference Paper

Publication Date

December 24, 2017

Submission Date

October 30, 2017

Acceptance Date

November 24, 2017

Published in Issue

Year 2017 Volume: 3 Number: 2

APA
Naralan, A., Kaleli, S. S., & Bayğın, M. (2017). SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY. Mugla Journal of Science and Technology, 3(2), 138-142. https://doi.org/10.22531/muglajsci.357621
AMA
1.Naralan A, Kaleli SS, Bayğın M. SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY. Mugla Journal of Science and Technology. 2017;3(2):138-142. doi:10.22531/muglajsci.357621
Chicago
Naralan, Abdullah, Salih Serkan Kaleli, and Mehmet Bayğın. 2017. “SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY”. Mugla Journal of Science and Technology 3 (2): 138-42. https://doi.org/10.22531/muglajsci.357621.
EndNote
Naralan A, Kaleli SS, Bayğın M (December 1, 2017) SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY. Mugla Journal of Science and Technology 3 2 138–142.
IEEE
[1]A. Naralan, S. S. Kaleli, and M. Bayğın, “SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY”, Mugla Journal of Science and Technology, vol. 3, no. 2, pp. 138–142, Dec. 2017, doi: 10.22531/muglajsci.357621.
ISNAD
Naralan, Abdullah - Kaleli, Salih Serkan - Bayğın, Mehmet. “SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY”. Mugla Journal of Science and Technology 3/2 (December 1, 2017): 138-142. https://doi.org/10.22531/muglajsci.357621.
JAMA
1.Naralan A, Kaleli SS, Bayğın M. SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY. Mugla Journal of Science and Technology. 2017;3:138–142.
MLA
Naralan, Abdullah, et al. “SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY”. Mugla Journal of Science and Technology, vol. 3, no. 2, Dec. 2017, pp. 138-42, doi:10.22531/muglajsci.357621.
Vancouver
1.Abdullah Naralan, Salih Serkan Kaleli, Mehmet Bayğın. SHORTEST PATH DETECTION USING CLONAL SELECTION ALGORITHM FOR ERZURUM METROPOLITAN MUNICIPALITY. Mugla Journal of Science and Technology. 2017 Dec. 1;3(2):138-42. doi:10.22531/muglajsci.357621

Cited By

8805

Mugla Journal of Science and Technology (MJST) is licensed under the Creative Commons Attribution-Noncommercial-Pseudonymity License 4.0 international license