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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 523))

Abstract

The paper concerns a joint problem of matching carpoolers and planning common routes as a multiple criteria optimization problem. The model of the optimization problem, as well as the concept of solution procedure, is presented. The solution algorithm uses dynamic programming method and Dijkstra algorithm to obtain matches of the carpoolers and routes. The solution is evaluated by aggregated quality index taking into account preferences of carpoolers equally, concerning all the criteria. Preferences are obtained by AHP method.

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Notes

  1. 1.

    We use \( \overline{{1,{\rm Z}}} \;\mathop = \limits^{\Delta } \;\{ 1,2,3, \ldots ,{\rm Z}\} \) notation for a set of natural numbers from 1 to Z.

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Filcek, G., Żak, J. (2017). The Multiple Criteria Optimization Problem of Joint Matching Carpoolers and Common Route Planning. In: Świątek, J., Wilimowska, Z., Borzemski, L., Grzech, A. (eds) Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part III. Advances in Intelligent Systems and Computing, vol 523. Springer, Cham. https://doi.org/10.1007/978-3-319-46589-0_18

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  • DOI: https://doi.org/10.1007/978-3-319-46589-0_18

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