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Heuristics for Fast One-to-Many Multicriteria Shortest Path Search

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00363869" target="_blank" >RIV/68407700:21230/22:00363869 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ITSC55140.2022.9922586" target="_blank" >http://dx.doi.org/10.1109/ITSC55140.2022.9922586</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ITSC55140.2022.9922586" target="_blank" >10.1109/ITSC55140.2022.9922586</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Heuristics for Fast One-to-Many Multicriteria Shortest Path Search

  • Original language description

    Being an NP-hard problem, multicriteria shortest path search is difficult to solve with speed satisfactory for real-world use. Therefore, this article examines the combination of t-discarding kPC-MLS [1] and multiple pruning heuristics. Apart from comparing the efficiency of the individual techniques, the research also evaluates the ability of t-discarding kPC-MLS to employ such heuristics. Since the experiments were conducted on country-size roadmaps, the results are expected to be relevant to real-world applications. According to the measurements, t-discarding kPC-MLS gains a higher speedup than standard MLS [2], operating on comparable roadmaps in a matter of seconds.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ITSC 2022: IEEE Conference on Intelligent Transportation Systems

  • ISBN

    9781665468800

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    594-599

  • Publisher name

    Institute of Electrical and Electronics Engineers, Inc.

  • Place of publication

  • Event location

    Macau

  • Event date

    Sep 18, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article