• DocumentCode
    1317665
  • Title

    Approximate Solution of the Multiple Watchman Routes Problem With Restricted Visibility Range

  • Author

    Faigl, Jan

  • Author_Institution
    Dept. of Cybern., Czech Tech. Univ. in Prague, Prague, Czech Republic
  • Volume
    21
  • Issue
    10
  • fYear
    2010
  • Firstpage
    1668
  • Lastpage
    1679
  • Abstract
    In this paper, a new self-organizing map (SOM) based adaptation procedure is proposed to address the multiple watchman route problem with the restricted visibility range in the polygonal domain W. A watchman route is represented by a ring of connected neuron weights that evolves in W, while obstacles are considered by approximation of the shortest path. The adaptation procedure considers a coverage of W by the ring in order to attract nodes toward uncovered parts of W. The proposed procedure is experimentally verified in a set of environments and several visibility ranges. Performance of the procedure is compared with the decoupled approach based on solutions of the art gallery problem and the consecutive traveling salesman problem. The experimental results show the suitability of the proposed procedure based on relatively simple supporting geometrical structures, enabling application of the SOM principles to watchman route problems in W.
  • Keywords
    approximation theory; geometry; graph theory; self-organising feature maps; travelling salesman problems; approximate solution; art gallery problem; connected neuron weight; consecutive traveling salesman problem; multiple watchman route problem; polygonal domain; restricted visibility range; self-organizing map based adaptation procedure; Approximation algorithms; Approximation methods; Cities and towns; Complexity theory; Euclidean distance; Neurons; Sensors; Self-organizing maps; watchman route problem; Algorithms; Computer Simulation; Maps as Topic; Neural Networks (Computer);
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2010.2070518
  • Filename
    5567166