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Journals / Teknik Dergi / 2013 / Cilt: 24 - Sayı: 116

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Şehiriçi Karayolu Ağlarının Sezgisel Harmoni Araştırması Optimizasyon Yöntemi ile Ayrık Tasarımı

Hüseyin CEYLAN
Halim CEYLAN
Pages
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Publication Date
2013-09-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Discrete Design of Urban Road Networks with Meta-Heuristic Harmony Search Algorithm system performance of the road network, which is solved with this method, is improved about 16%

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Discrete Design of Urban Road Networks with Meta-Heuristic Harmony Search Algorithm system performance of the road network, which is solved with this method, is improved about 16%
📊
Key Findings & Data:Discrete Design of Urban Road Networks with Meta-Heuristic Harmony Search Algorithm system performance of the road network, which is solved with this method, is improved about 16%
💡
Conclusion & Impact:Discrete Design of Urban Road Networks with Meta-Heuristic Harmony Search Algorithm system performance of the road network, which is solved with this method, is improved about 16%
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Ayrık ulaştırma ağ tasarımı · harmoni araştırması · genelleştirilmiş indirgenmiş gradyan yöntemi

Abstract

Discrete Design of Urban Road Networks with Meta-Heuristic Harmony Search Algorithm system performance of the road network, which is solved with this method, is improved about 16%

Özet

Bu çalışmada, şehiriçi ulaştırma ağlarının ayrık tasarımı, doğrusal olmayan karma tamsayılı programlama problemi olarak formülize edilmiş ve sezgisel Harmoni Araştırması (HA) optimizasyon tekniği ile çözümlenmiştir. Trafik akımlarının yol ağındaki dağılımını temsil eden trafik ataması problemi, kullanıcı dengesi yaklaşımı altında Genelleştirilmiş İndirgenmiş Gradyan (GİG) yöntemi kullanılarak çözülmüştür. Ağ üzerindeki toplam seyahat süresini en aza indiren yatırım stratejisi, öngörülen yatırım bütçesi göz önünde bulundurularak belirlenmiştir. Önerilen yöntem, literatürde sıkça kullanılan iki örnek yol ağına uygulanmıştır. Çalışmada, şehiriçi ulaştırma ağlarının ayrık tasarımında sezgisel HA tabanlı çözüm yönteminin etkin bir şekilde kullanılabileceği gösterilmiş ve bu yöntem ile çözümlenen karayolu ağının sistem performansında yaklaşık %16’lık iyileşme sağlanmıştır

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Cite This Article

CEYLAN, H., CEYLAN, H. (2013). -. Teknik Dergi, Cilt: 24 - Sayı: 116. https://ajindex.com/articles/51382

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References (16)

  1. Chen, M., Alfa, A. S., A Network Design Algorithm Using a Stochastic Incremental Traffic Assignment Approach. Transportation Science, 25, 215–224, 1991.
  2. Chen, X., An Improved Branch and Bound Algorithm for Future Selection. Pattern Recognition Letters, 24, 1925-1933, 2003.
  3. Gao, Z., Wu, J., Sun, H., Solution Algorithm for the Bi-Level Discrete Network Design Problem. Transportation Research Part B, 39, 479–495, 2005.
  4. Zhang, H., Gao, Z., Two-Way Road Network Design Problem With Variable Lanes. J Syst Sci Syst Eng, 16(1), 2007.
  5. Duthie, J., Waller, S. T., Incorporating Environmental Justice Measures into Equilibrium-Based Network Design. Transportation Research Board 87th Annual Meeting, Washington, 2008.
  6. Frontline System Inc., A Tutorial on Spreadsheet Optimization, 1999.
  7. Stokes, L., Plummer, J., Using spreadsheet solvers in sample design. Computational Statistics & Data Analysis, 44(3), 527-546, 2004.
  8. Lasdon, L. S., Waren, A. D., Jain, A., Ratner, M., Design and Testing of a Generalized Reduced Gradient Code for Nonlinear Programming. ACM Transactions on Mathematical Software, 4(1), 34–49, 1978.
  9. Ayvaz, M. T., Kayhan, A. H., Ceylan, H., Gurarslan, G., Hybridizing harmony search algorithm with a spreadsheet solver for solving continuous engineering optimization problems. Engineering Optimization, 41(12), 1119–1144, 2009.
  10. Kayhan, A. H., Ceylan, H., Ayvaz, M. T., Gurarslan, G., PSOLVER: A New Hybrid Particle Swarm Optimization Algorithm for Solving Continuous Optimization Problems. Expert Systems with Applications, 37(10), 6798–6808, 2010.
  11. Boyce, D. E., Urban Transportation Network Equilibrium and Design Models: Recent Achievements and Future Prospectives. Environment and Planning, 16, 1445–1474, 1984.
  12. Geem, Z. W., Kim, J-H., Loganathan, G. V., A New Heuristic Optimization Algorithm: Harmony Search, Simulation, 76(2), 60–68, 2001.
  13. Kim, J. H., Geem Z. W., Kim, E.S., Parameter Estimation of the Nonlinear Muskingum Model using Harmony Search. Journal of the American Water Resources Association, 37(5), 1131–1138, 2001.
  14. Lee, K. S., Geem, Z. W., A New Structural Optimization Method Based on the Harmony Search Algorithm. Computers and Structures, 82(9–10), 781–798, 2004.
  15. Geem, Z. W., Optimal Cost Design of Water Distribution Networks Using Harmony Search. Engineering Optimization, 38(3), 259–280, 2006.
  16. Ayvaz, M. T., Simultaneous Determination of Aquifer Parameters and Zone Structures with Fuzzy c-Means Clustering and Meta-Heuristic Harmony Search Algorithm. Advances in