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An efficient heuristic algorithm for the alternative-fuel station location problem

Author

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  • Tran, Trung Hieu
  • Nagy, Gábor
  • Nguyen, Thu Ba T.
  • Wassan, Niaz A.

Abstract

We have developed an efficient heuristic algorithm for location of alternative-fuel stations. The algorithm is constructed based on solving the sequence of subproblems restricted on a set of promising station candidates, and fixing a number of the best promising station locations. The set of candidates is initially determined by solving a relaxation model, and then modified by exchanging some stations between the promising candidate set and the remaining station set. A number of the best station candidates in the promising candidate set can be fixed to improve computation time. In addition, a parallel computing strategy is integrated into solving simultaneously the set of subproblems to speed up computation time. Experimental results carried out on the benchmark instances show that our algorithm outperforms genetic algorithm and greedy algorithm. As compared with CPLEX solver, our algorithm can obtain all the optimal solutions on the tested instances with less computation time.

Suggested Citation

  • Tran, Trung Hieu & Nagy, Gábor & Nguyen, Thu Ba T. & Wassan, Niaz A., 2018. "An efficient heuristic algorithm for the alternative-fuel station location problem," European Journal of Operational Research, Elsevier, vol. 269(1), pages 159-170.
    • Handle: RePEc:eee:ejores:v:269:y:2018:i:1:p:159-170
    DOI: 10.1016/j.ejor.2017.10.012
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    References listed on IDEAS

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    4. Erdoğan, Sevgi & Çapar, İsmail & Çapar, İbrahim & Nejad, Mohammad Motalleb, 2022. "Establishing a statewide electric vehicle charging station network in Maryland: A corridor-based station location problem," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    5. Kınay, Ömer Burak & Gzara, Fatma & Alumur, Sibel A., 2021. "Full cover charging station location problem with routing," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 1-22.
    6. Brandt, Tobias & Wagner, Sebastian & Neumann, Dirk, 2021. "Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning," European Journal of Operational Research, Elsevier, vol. 291(1), pages 379-393.
    7. Zhang, Jie & Bai, Lihui & Jin, Tongdan, 2021. "Joint planning for battery swap and supercharging networks with priority service queues," International Journal of Production Economics, Elsevier, vol. 233(C).

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