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Graph Theory And Environmental Algorithmic Solutions To Assign Vehicles Application To Garbage Collection In Vietnam

Author

Listed:
  • Buu-Chau Truong

    (Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

  • Kim-Hung Pho

    (Fractional Calculus, Optimization and Algebra Research Group, Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

  • Van-Buol Nguyen

    (General Faculty, Binh Duong Economics & Technology University, Binh Duong City, Vietnam)

  • Bui Anh Tuan

    (Department of Mathematics Education, Teachers College, Can Tho University, Vietnam)

  • Wing-Keung Wong

    (Department of Finance, Fintech Center, Big Data Research Center, Asia University, Taiwan)

Abstract

The problem of finding the shortest path including garbage collection is one of the most important problems in environmental research and public health. Usually, the road map has been modeled by a connected undirected graph with the edge representing the path, the weight being the length of the road, and the vertex being the intersection of edges. Hence, the initial problem becomes a problem finding the shortest path on the simulated graph. Although the shortest path problem has been extensively researched and widely applied in miscellaneous disciplines all over the world and for many years, as far as we know, there is no study to apply graph theory to solve the shortest path problem and provide solution to the problem of "assigning vehicles to collect garbage" in Vietnam. Thus, to bridge the gap in the literature of environmental research and public health. We utilize three algorithms including Fleury, Floyd, and Greedy algorithms to analyze to the problem of "assigning vehicles to collect garbage" in District 5, Ho Chi Minh City, Vietnam. We then apply the approach to draw the road guide for the vehicle to run in District 5 of Ho Chi Minh city. To do so, we first draw a small part of the map and then draw the entire road map of District 5 in Ho Chi Minh city. The approach recommended in our paper is reliable and useful for managers in environmental research and public health to use our approach to get the optimal cost and travelling time.

Suggested Citation

  • Buu-Chau Truong & Kim-Hung Pho & Van-Buol Nguyen & Bui Anh Tuan & Wing-Keung Wong, 2019. "Graph Theory And Environmental Algorithmic Solutions To Assign Vehicles Application To Garbage Collection In Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(3), pages 1-35, September.
  • Handle: RePEc:aag:wpaper:v:23:y:2019:i:3:p:1-35
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    References listed on IDEAS

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    1. Garaix, Thierry & Artigues, Christian & Feillet, Dominique & Josselin, Didier, 2010. "Vehicle routing problems with alternative paths: An application to on-demand transportation," European Journal of Operational Research, Elsevier, vol. 204(1), pages 62-75, July.
    2. Chassein, André B. & Goerigk, Marc, 2015. "A new bound for the midpoint solution in minmax regret optimization with an application to the robust shortest path problem," European Journal of Operational Research, Elsevier, vol. 244(3), pages 739-747.
    3. Eugene L. Lawler, 1972. "A Procedure for Computing the K Best Solutions to Discrete Optimization Problems and Its Application to the Shortest Path Problem," Management Science, INFORMS, vol. 18(7), pages 401-405, March.
    4. Marinakis, Yannis & Migdalas, Athanasios & Sifaleras, Angelo, 2017. "A hybrid Particle Swarm Optimization – Variable Neighborhood Search algorithm for Constrained Shortest Path problems," European Journal of Operational Research, Elsevier, vol. 261(3), pages 819-834.
    5. H. A. Eiselt & Michel Gendreau & Gilbert Laporte, 1995. "Arc Routing Problems, Part I: The Chinese Postman Problem," Operations Research, INFORMS, vol. 43(2), pages 231-242, April.
    6. Refael Hassin, 1992. "Approximation Schemes for the Restricted Shortest Path Problem," Mathematics of Operations Research, INFORMS, vol. 17(1), pages 36-42, February.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Ngo Tung Hieu & Lam Minh Huy & Huynh Manh Phat & Nguyen Ngoc Phuong Anh & Wing-Keung Wong, 2020. "Decision Sciences in Education: The STEMtech Model to Create Stem Products at High Schools in Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 15-65, June.

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    More about this item

    Keywords

    Fleury algorithm; Floyd algorithm; Greedy algorithm; shortest path;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation

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