Study of route optimization considering bottlenecks and fairness among partial paths

Toshihiro Matsui, Marius Silaghi, Katsutoshi Hirayama, Makoto Yokoo, Hiroshi Matsuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Route optimization is an important problem for single agents and multi-agent systems. In route optimization tasks, the considered challenges generally belong to the family of shortest path problems. Such problems are solved using optimization algorithms, such as the A∗algorithm, which is based on tree search and dynamic programming. In several practical cases, cost values should be as evenly minimized for individual parts of paths as possible. These situations are also considered as multi-objective problems for partial paths. Since dynamic programming approaches are employed for the shortest path problems, different types of criteria which can be decomposed with dynamic programming might be applied to the conventional solution methods. For this class of problems, we employ a leximax-based criterion, which considers the bottlenecks and unfairness among the cost values of partial paths. This criterion is based on a similar criterion called leximin for multiobjective maximization problems. It is also generalized for objective vectors which have variable lengths. We address an extension of the conventional A∗search algorithm and investigate an issue concerning on-line search algorithms. The influence of the proposed approach is experimentally evaluated.

Original languageEnglish
Title of host publicationICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence
EditorsAna Paula Rocha, Jaap van den Herik
PublisherSciTePress
Pages37-47
Number of pages11
ISBN (Electronic)9789897582752
DOIs
Publication statusPublished - 2018
Event10th International Conference on Agents and Artificial Intelligence, ICAART 2018 - Funchal, Madeira, Portugal
Duration: Jan 16 2018Jan 18 2018

Publication series

NameICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence
Volume1

Other

Other10th International Conference on Agents and Artificial Intelligence, ICAART 2018
CountryPortugal
CityFunchal, Madeira
Period1/16/181/18/18

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence

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  • Cite this

    Matsui, T., Silaghi, M., Hirayama, K., Yokoo, M., & Matsuo, H. (2018). Study of route optimization considering bottlenecks and fairness among partial paths. In A. P. Rocha, & J. van den Herik (Eds.), ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence (pp. 37-47). (ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence; Vol. 1). SciTePress. https://doi.org/10.5220/0006589000370047