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Models and Algorithm for the Orienteering Problem in a Fuzzy Environment

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Abstract

The orienteering problem is a classical decision-making problem that can model many applications in logistics, tourism , and several other fields. In the orienteering problem, a graph is given, in which each vertex is associated with a score and the travel time along each edge is provided. The goal of this problem is to find a path that maximizes the sum of the collected scores, such that the total travel time along the path is below a given time limit. In the real world, the scores and the travel time may be uncertain, especially when the historical data are not sufficient. In this paper, we study the orienteering problem in a fuzzy environment and represent the scores and the travel time as fuzzy variables. Based on credibility theory, three fuzzy programming models under different decision criteria are proposed. For cases where the fuzzy variables are of some specific types, crisp equivalents of the models are constructed. In order to solve the proposed models, we design a hybrid intelligent algorithm integrating fuzzy simulation with genetic algorithm. A series of numerical experiments are performed to show the effectiveness and robustness of our hybrid intelligent algorithm.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Nos. 71471038, 71371141) and Program for Huiyuan Distinguished Young Scholars, UIBE.

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Authors and Affiliations

  1. School of Information Technology and Management, University of International Business and Economics, Beijing, 100029, China

    Yaodong Ni

  2. Division of Information Technology and Operations Management, Nanyang Business School, Nanyang Technological University, Singapore, Singapore

    Yi Chen

  3. School of Economics and Management, Tongji University, Shanghai, China

    Hua Ke

  4. Department of Mathematical Sciences, University of Cincinnati, Cincinnati, OH, USA

    Dan A. Ralescu

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  1. Yaodong Ni
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  2. Yi Chen
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  3. Hua Ke
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  4. Dan A. Ralescu
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Correspondence to Yaodong Ni.

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Ni, Y., Chen, Y., Ke, H. et al. Models and Algorithm for the Orienteering Problem in a Fuzzy Environment. Int. J. Fuzzy Syst. 20, 861–876 (2018). https://doi.org/10.1007/s40815-017-0369-z

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  • DOI: https://doi.org/10.1007/s40815-017-0369-z

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