Kepaptsoglou, K., & Karlaftis, M. (2009). Transit route network design problem.
Journal of transportation engineering, 135(8), 491-505.
Zhang, L., Lu, J., Yue, X., Zhou, J., Li, Y., & Wan, Q. (2018). An auxiliary optimization method for complex public transit route network based on link prediction. Modern Physics Letters B, 32(05), 1850066.
|
Xiong, J., Chen, B., Chen, Y., Jiang, Y., & Lu, Y. (2019). Route network design of community shuttle for metro stations through genetic algorithm optimization. IEEE Access, 7, 53812-53822.
|
Fu, X., & Lam, W. H. (2018). Modelling joint activity-travel pattern scheduling problem in multi-modal transit networks. Transportation, 45(1), 23-49.
|
Ceder, A., & Wilson, N. H. (1986). Bus network design. Transportation Research Part B: Methodological, 20(4), 331-344.
|
Ceder, A., & Israeli, Y. (1993). Design and evaluation of transit routes in urban networks. In Proceedings of the 3rd international conference on competition and ownership in surface passenger transport, Ontario, Canada.
|
Israeli, Y., & Ceder, A. (1995). Transit route design using scheduling and multiobjective programming techniques. In Computer-aided transit scheduling. Springer, Berlin, Heidelberg, 56-75.
|
Dufourd, H., Gendreau, M., & Laporte, G. (1996). Locating a transit line using tabu search. Location Science, 4(1-2), 1-19.
|
Pattnaik, S. B., Mohan, S., & Tom, V. M. (1998). Urban bus transit route network design using genetic algorithm. Journal of transportation engineering, 124(4), 368-375.
|
Bielli, M., Caramia, M., & Carotenuto, P. (2002). Genetic algorithms in bus network optimization. Transportation Research Part C: Emerging Technologies, 10(1), 19-34.
|
Bruno, G., Gendreau, M., & Laporte, G. (2002). A heuristic for the location of a rapid transit line. Computers & Operations Research, 29(1), 1-12.
|
Zhao, F., Ubaka, I., & Gan, A. (2005). Transit network optimization: Minimizing transfers and maximizing service coverage with an integrated simulated annealing and tabu search method. Transportation research record, 1923(1), 180-188.
|
Yang, Z., Yu, B., & Cheng, C. (2007). A parallel ant colony algorithm for bus network optimization. Computer‐Aided Civil and Infrastructure Engineering, 22(1), 44-55.
|
Zhao, F., & Zeng, X. (2008). Optimization of transit route network, vehicle headways and timetables for large-scale transit networks. European Journal of Operational Research, 186(2), 841-855.
|
Szeto, W. Y., & Wu, Y. (2011). A simultaneous bus route design and frequency setting problem for Tin Shui Wai, Hong Kong. European Journal of Operational Research, 209(2), 141-155.
|
Gutiérrez-Jarpa, G., Obreque, C., Laporte, G., Marianov, V. (2013). Rapid transit network design for optimal cost and origin–destination demand capture. Computers & Operations Research, 40(12), 3000-3009.
|
Ouyang, Y., Nourbakhsh, S. M., & Cassidy, M. J. (2014). Continuum approximation approach to bus network design under spatially heterogeneous demand. Transportation Research Part B: Methodological, 68, 333-344.
|
Nikolić, M., & Teodorović, D. (2014). A simultaneous transit network design and frequency setting: Computing with bees. Expert Systems with Applications, 41(16),7200-7209.
|
Cancela, H., Mauttone, A., & Urquhart, M. E. (2015). Mathematical programming formulations for transit network design. Transportation Research Part B: Methodological, 77,17-37.
|
Cipriani, E., Fusco, G., Patella, S. M., Petrelli, M., & Quadrifoglio, L. (2019). Transit network design for small-medium size cities. Transportation Planning and Technology, 42(1), 84-97.
|
Ahmed, L., Mumford, C., & Kheiri, A. (2019). Solving urban transit route design problem using selection hyper-heuristics. European Journal of Operational Research, 274(2), 545-559.
|
Wang, C., Ye, Z., & Wang, W. (2020). A multi-objective optimization and hybrid heuristic approach for urban bus route network design. IEEE Access, 8, 12154-12167.
|
Momenitabar, M., & Mattson, J. (2021). A Multi-Objective Meta-Heuristic Approach to Improve the Bus Transit Network: A Case Study of Fargo-Moorhead Area. Sustainability, 13(19), 10885.
|
Mahdavi, A. R., Mamdoohi, A., & Allahviranloo, M. (2021). A fuzzy approach for designing of subway lines, case study: development of the Tehran subway network. Amirkabir Journal of Civil Engineering, 53(9), 13-13.
|
Durán-Micco, J., van Kooten Niekerk, M., & Vansteenwegen, P. (2022). Designing bus line plans for realistic cases-the Utrecht case study. Expert Systems with Applications, 187, 115918.
|
Rajabi, R., Yakhchali, S., (2022), Cash Flow Optimization of Portfolio Considering Market Indices Using Genetic Algorithm and Particle Swarm Optimization, Journal of Structural and Construction Engineering, [online], Available at: https://www.jsce.ir/article_144890.html.
|
Khajeh, A., Kiani, A., Seraji, M., Dashti, H., Optimization of structure using hybrid Harris hawks and genetic algorithm, Journal of Structural and Construction Engineering, [online], Available at: https://www.jsce.ir/article_152908.html
|
Code 777, (2019). Public Transportation Studies and Feasibility Studies for Rail Systems in Urban and Suburb Areas (Scope of Services), Islamic Republic of Iran Plan and Budget Organization.
|
Vuchic, V. R. (2007). Urban transit systems and technology. John Wiley & Sons.
|