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Bee Inspired Novel Optimization Algorithm and Mathematical Model for Effective and Efficient Route Planning in Railway System

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  • Kah Huo Leong
  • Hamzah Abdul-Rahman
  • Chen Wang
  • Chiu Chuen Onn
  • Siaw-Chuing Loo

Abstract

Railway and metro transport systems (RS) are becoming one of the popular choices of transportation among people, especially those who live in urban cities. Urbanization and increasing population due to rapid development of economy in many cities are leading to a bigger demand for urban rail transit. Despite being a popular variant of Traveling Salesman Problem (TSP), it appears that the universal formula or techniques to solve the problem are yet to be found. This paper aims to develop an optimization algorithm for optimum route selection to multiple destinations in RS before returning to the starting point. Bee foraging behaviour is examined to generate a reliable algorithm in railway TSP. The algorithm is then verified by comparing the results with the exact solutions in 10 test cases, and a numerical case study is designed to demonstrate the application with large size sample. It is tested to be efficient and effective in railway route planning as the tour can be completed within a certain period of time by using minimal resources. The findings further support the reliability of the algorithm and capability to solve the problems with different complexity. This algorithm can be used as a method to assist business practitioners making better decision in route planning.

Suggested Citation

  • Kah Huo Leong & Hamzah Abdul-Rahman & Chen Wang & Chiu Chuen Onn & Siaw-Chuing Loo, 2016. "Bee Inspired Novel Optimization Algorithm and Mathematical Model for Effective and Efficient Route Planning in Railway System," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-24, December.
    • Handle: RePEc:plo:pone00:0166064
    DOI: 10.1371/journal.pone.0166064
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    References listed on IDEAS

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    1. T. L. Magnanti & R. T. Wong, 1984. "Network Design and Transportation Planning: Models and Algorithms," Transportation Science, INFORMS, vol. 18(1), pages 1-55, February.
    2. Laporte, Gilbert, 1992. "The vehicle routing problem: An overview of exact and approximate algorithms," European Journal of Operational Research, Elsevier, vol. 59(3), pages 345-358, June.
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    1. Juraj Čamaj & Eva Brumerčíková & Michal Petr Hranický, 2020. "Information System and Technology Optimization as a Tool for Ensuring the Competitiveness of a Railway Undertaking—Case Study," Sustainability, MDPI, vol. 12(21), pages 1-23, October.

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