Main Article Content
Abstract
These days the development of “clever cities†with a high level of nice of existence is turning into a previous assignment to be addressed. In this framework, promoting the model shift closer to extra dependable, greener and in widespread extra sustainable transportation modes, specifically toward a “smart mobility†should appreciably make contributions to reap this aim. The goal of this paper is to offer customers with greater regular and reliable rail machine through optimizing the direction among stations.
Keywords
Railway
Route
Optimization
Genetic Algorithm
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How to Cite
Pradhan, R., Dubey, O. P., & Singh, G. (2017). RAILWAY DIRECTION OPTIMIZATION USING GENETIC ALGORITHM. International Journal of Students’ Research in Technology & Management, 5(4), 94–98. https://doi.org/10.18510/ijsrtm.2017.5413
References
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[1] Akshay S. Bhandari, Pratik V. Karche, Pranav D. Jadhav, Vikas S. More, International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-3, Issue-3, March 2015.
[2] Honggang Wang, Qin Zhang, Jianying Wang, Zhuangfeng Wang, Yijun Zhang. “GA-basedmodel of train operation adjustment for high-speed railway. China railwayscience.†China railway science 27: 3(May 2006): 96-100.
[3] Lianbo Deng, Feng Shi, Wenliang Zhou. “Stop Schedule Plan Optimization for Passenger Train.†China Railway Science 30:4(July 2009): 102-109.
[4] Thomas Bäck. Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford County: Oxford University Press, 1996.
[5] WeiXiong Zha, Huilin Liu, Jian Li. Theory and Example of Railway Passengers and Trains Flow.Chengdu: Southwest Jiaotong University Press, 2008.
[6] Yan Meng. Structure design methodology for the railway intelligent transportation systems.Beijing: China Academy of railway sciences, 2005.
[7] Zhi Wang, Qiyuan Peng, Xiaosong Xie. “Research on Optimization of Railway PassengerTrain Path Based on Genetic Algorithms.†Railway Computer Application 15:12.
References
[1] Akshay S. Bhandari, Pratik V. Karche, Pranav D. Jadhav, Vikas S. More, International Journal of Engineering and Technical Research (IJETR) ISSN: 2321-0869, Volume-3, Issue-3, March 2015.
[2] Honggang Wang, Qin Zhang, Jianying Wang, Zhuangfeng Wang, Yijun Zhang. “GA-basedmodel of train operation adjustment for high-speed railway. China railwayscience.†China railway science 27: 3(May 2006): 96-100.
[3] Lianbo Deng, Feng Shi, Wenliang Zhou. “Stop Schedule Plan Optimization for Passenger Train.†China Railway Science 30:4(July 2009): 102-109.
[4] Thomas Bäck. Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford County: Oxford University Press, 1996.
[5] WeiXiong Zha, Huilin Liu, Jian Li. Theory and Example of Railway Passengers and Trains Flow.Chengdu: Southwest Jiaotong University Press, 2008.
[6] Yan Meng. Structure design methodology for the railway intelligent transportation systems.Beijing: China Academy of railway sciences, 2005.
[7] Zhi Wang, Qiyuan Peng, Xiaosong Xie. “Research on Optimization of Railway PassengerTrain Path Based on Genetic Algorithms.†Railway Computer Application 15:12.
[2] Honggang Wang, Qin Zhang, Jianying Wang, Zhuangfeng Wang, Yijun Zhang. “GA-basedmodel of train operation adjustment for high-speed railway. China railwayscience.†China railway science 27: 3(May 2006): 96-100.
[3] Lianbo Deng, Feng Shi, Wenliang Zhou. “Stop Schedule Plan Optimization for Passenger Train.†China Railway Science 30:4(July 2009): 102-109.
[4] Thomas Bäck. Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford County: Oxford University Press, 1996.
[5] WeiXiong Zha, Huilin Liu, Jian Li. Theory and Example of Railway Passengers and Trains Flow.Chengdu: Southwest Jiaotong University Press, 2008.
[6] Yan Meng. Structure design methodology for the railway intelligent transportation systems.Beijing: China Academy of railway sciences, 2005.
[7] Zhi Wang, Qiyuan Peng, Xiaosong Xie. “Research on Optimization of Railway PassengerTrain Path Based on Genetic Algorithms.†Railway Computer Application 15:12.