Path planning on hierarchical bundles with differential evolution

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

    4 Citations (Scopus)

    Abstract

    Computing hierarchical routing networks in polygonal maps is significant to realize the efficient coordination of agents, robots and systems in general; and the fact of considering obstacles in the map, makes the computation of efficient networks a relevant need for cluttered environments. In this paper, we present an approach to compute the minimal-length hierarchical topologies in polygonal maps by Differential Evolution and Route Bundling Concepts. Our computational experiments in scenarios considering convex and non-convex configuration of polygonal maps show the feasibility of the proposed approach.

    Original languageEnglish
    Title of host publicationAdvances in Swarm Intelligence - 9th International Conference, ICSI 2018, Proceedings
    PublisherSpringer-Verlag
    Pages251-260
    Number of pages10
    ISBN (Print)9783319938141
    DOIs
    Publication statusPublished - 2018 Jan 1
    Event9th International Conference on Swarm Intelligence, ICSI 2018 - Shanghai, China
    Duration: 2018 Jun 172018 Jun 22

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10941 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other9th International Conference on Swarm Intelligence, ICSI 2018
    CountryChina
    CityShanghai
    Period18/6/1718/6/22

    Keywords

    • Hierarchical network design
    • Minimal trees
    • Route bundling

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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  • Cite this

    Parque Tenorio, V., & Miyashita, T. (2018). Path planning on hierarchical bundles with differential evolution. In Advances in Swarm Intelligence - 9th International Conference, ICSI 2018, Proceedings (pp. 251-260). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10941 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-93815-8_25