Artificial Intelligence and Decision Making
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Guidelines for authors

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Artificial Intelligence and Decision Making:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Artificial Intelligence and Decision Making, 2010, Issue 2, Pages 16–25 (Mi iipr495)  

Modeling and control

HGA*: An effective 2D path-planning algorithm

K. Yakovlev

Institute for Systems Analysis of Russian Academy of Sciences
Abstract: Existing and perspective 2D path-planning algorithms are addressed in the paper. Known methods and algorithms are analyzed and evaluated. Novel path-planning algorithm, HGA*, capable of solving pathplanning task under the lack of computational resources and other restrictions (dynamic and partial observance of the environment) is presented. Experiment results showing the superiority of HGA* over known techniques are given.
Keywords: intelligent control systems, automated planning, path-planning, A*.
English version:
Scientific and Technical Information Processing, 2010, Volume 37, Issue 6, Pages 438–447
DOI: https://doi.org/10.3103/S0147688210060092
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: K. Yakovlev, “HGA*: An effective 2D path-planning algorithm”, Artificial Intelligence and Decision Making, 2010, no. 2, 16–25; Scientific and Technical Information Processing, 37:6 (2010), 438–447
Citation in format AMSBIB
\Bibitem{Yak10}
\by K.~Yakovlev
\paper HGA*: An effective 2D path-planning algorithm
\jour Artificial Intelligence and Decision Making
\yr 2010
\issue 2
\pages 16--25
\mathnet{http://mi.mathnet.ru/iipr495}
\elib{https://elibrary.ru/item.asp?id=15593574}
\transl
\jour Scientific and Technical Information Processing
\yr 2010
\vol 37
\issue 6
\pages 438--447
\crossref{https://doi.org/10.3103/S0147688210060092}
Linking options:
  • https://www.mathnet.ru/eng/iipr495
  • https://www.mathnet.ru/eng/iipr/y2010/i2/p16
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Artificial Intelligence and Decision Making
    Statistics & downloads:
    Abstract page:15
    Full-text PDF :14
    References:1
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024