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Transportation Letters
The International Journal of Transportation Research
Volume 1, 2009 - Issue 1
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Original

A quantum-inspired genetic algorithm for dynamic continuous network design problem

Dung-Ying Lin
&
S. Waller
Pages 81-93 | Published online: 07 Sep 2013

Citations (9)

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Dung-Ying Lin, Peng-Hsueh Lin & ManWo Ng. (2019) A dual approximation-based quantum-inspired genetic algorithm for the dynamic network design problem. Transportation Letters 11:3, pages 158-173.
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Articles from other publishers (8)

Valerii Tkachuk & Mykola Kozlenko. 2022. Advances in Artificial Systems for Logistics Engineering. Advances in Artificial Systems for Logistics Engineering 51 70 .
Fuquan Zhang, Tsu-Yang Wu, Yiou Wang, Rui Xiong, Gangyi Ding, Peng Mei & Laiyang Liu. (2020) Application of Quantum Genetic Optimization of LVQ Neural Network in Smart City Traffic Network Prediction. IEEE Access 8, pages 104555-104564.
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V.M. Tkachuk, M.I. Kozlenko, M.V. Kuz, I.M. Lazarovych & M.C. Dutchak. (2019) Optimization Based on Higher-Order Quantum Genetic Algorithm. Èlektronnoe modelirovanie 41:3, pages 43-58.
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Wojciech Chmiel & Joanna Kwiecień. (2018) Quantum-Inspired Evolutionary Approach for the Quadratic Assignment Problem. Entropy 20:10, pages 781.
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Valerii Tkachuk. (2018) Quantum Genetic Algorithm on Multilevel Quantum Systems. Mathematical Problems in Engineering 2018, pages 1-12.
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Xikun Wang, Lin Qian, Ling Wang, Muhammad Ilyas Menhas, Haoqi Ni & Xin Du. 2014. Computational Intelligence, Networked Systems and Their Applications. Computational Intelligence, Networked Systems and Their Applications 111 121 .
Avinash Unnikrishnan & Dung-Ying Lin. (2012) User Equilibrium with Recourse: Continuous Network Design Problem. Computer-Aided Civil and Infrastructure Engineering 27:7, pages 512-524.
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S. Dinu & G. Bordea. (2011) A new genetic approach for transport network design and optimization. Bulletin of the Polish Academy of Sciences: Technical Sciences 59:3.
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