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A Hybrid Variation Harmony Search Algorithm for the Team Orienteering Problem with Capacity Limitations

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 11968)

Abstract

This paper addresses a new optimization method for a variant of the category of orienteering problems (OP), which is well-known as the capacitated team orienteering problem (CTOP). The main objective of CTOP focuses on the maximization of the total collected profit from a set of candidate nodes or customers by taking into account the limitations of vehicle capacity and time upper boundary of a constructed route. To solve CTOP, we present a new optimization algorithm called the Similarity Hybrid Harmony Search. This methodology includes an innovative “similarity process” technique, which takes advantage the most profitable nodes/customers during the algorithmic procedure aiming to extend the diversification in the solution area. The experimental tests were conducted in the most popular set of instances and the obtained results are compared with most competitive algorithms in the literature.

Keywords

  • Capacitated Team Orienteering Problem
  • Harmony Search algorithm
  • Vehicle routing problems with profits

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  • DOI: 10.1007/978-3-030-38629-0_12
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References

  1. Archetti, C., Feillet, D., Hertz, A., Speranza, M.G.: The capacitated team orienteering and profitable tour problems. J. Oper. Res. Soc. 60, 831–842 (2009)

    CrossRef  Google Scholar 

  2. Chao, I.M., Golden, B., Wasil, E.A.: The team orienteering problem. Eur. J. Oper. Res. 88, 464–474 (1996)

    CrossRef  Google Scholar 

  3. Christofides, N., Mingozzi, A., Toth, P.: The vehicle routing problem. In: Combinatorial Optimization, pp. 315–338 (1979)

    Google Scholar 

  4. Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization algorithm: harmony search. Simulation 76(2), 60–68 (2001)

    CrossRef  Google Scholar 

  5. Lee, K.S., Geem, Z.W.: A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice. Comput. Methods Appl. Mech. Eng. 194, 3902–3933 (2004)

    CrossRef  Google Scholar 

  6. Luo, Z., Cheang, B., Lim, A., Zhu, W.: An adaptive ejection pool with toggle-rule diversification approach for the capacitated team orienteering problem. Eur. J. Oper. Res. 229(3), 673–682 (2013)

    CrossRef  Google Scholar 

  7. Tarantilis, C.D., Stavropoulou, F., Repoussis, P.P.: The capacitated team orienteering problem: a bi-level filter-and-fan method. Eur. J. Oper. Res. 224(1), 65–78 (2013)

    MathSciNet  CrossRef  Google Scholar 

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Correspondence to Eleftherios Tsakirakis .

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Tsakirakis, E., Marinaki, M., Marinakis, Y. (2020). A Hybrid Variation Harmony Search Algorithm for the Team Orienteering Problem with Capacity Limitations. In: Matsatsinis, N., Marinakis, Y., Pardalos, P. (eds) Learning and Intelligent Optimization. LION 2019. Lecture Notes in Computer Science(), vol 11968. Springer, Cham. https://doi.org/10.1007/978-3-030-38629-0_12

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