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Transportation Letters
The International Journal of Transportation Research
Volume 11, 2019 - Issue 3
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Research Paper

A dual approximation-based quantum-inspired genetic algorithm for the dynamic network design problem

Dung-Ying LinDepartment of Transportation and Communication Management Science, National Cheng Kung University, Tainan City, TaiwanCorrespondence[email protected]
,
Peng-Hsueh LinDepartment of Transportation and Communication Management Science, National Cheng Kung University, Tainan City, Taiwan
&
ManWo NgMaritime and Supply Chain Management, Old Dominion University, Norfolk, VA, USA
Pages 158-173 | Published online: 24 Mar 2017

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Habibeh Nazif. (2022) A fuzzy logic-based method for designing an urban transport network using a shark smell optimisation algorithm. Journal of Experimental & Theoretical Artificial Intelligence 34:4, pages 673-694.
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Articles from other publishers (2)

Mahmoud Masoud, Mohammed Elhenawy, Shi Qiang Liu, Mohammed Almannaa, Sebastien Glaser & Wael Alhajyaseen. (2023) A Simulated Annealing for Optimizing Assignment of E-Scooters to Freelance Chargers. Sustainability 15:3, pages 1869.
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Ruyang Yin, Zhiyuan Liu & Nan Zheng. (2022) A Simulation-Based Model for Continuous Network Design Problem Using Bayesian Optimization. IEEE Transactions on Intelligent Transportation Systems 23:11, pages 20352-20367.
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