• DocumentCode
    3726650
  • Title

    Hybrid Approach for TSP Based on Neural Networks and Ant Colony Optimization

  • Author

    Dr. Carsten Mueller;Niklas Kiehne

  • Author_Institution
    Dept. of Inf. Technol., Univ. of Econ., Prague, Czech Republic
  • fYear
    2015
  • Firstpage
    1431
  • Lastpage
    1435
  • Abstract
    This research article presents a hybrid approach based on an intelligent combination of artificial ants and neurons. Research on different parameter combinations are performed, in order to find the best performing parameter settings. The obtained insights are then subsumed into an intelligent architecture consisting of ACO and SOM.
  • Keywords
    "Neurons","Training","Artificial neural networks","Biological neural networks","Cities and towns","Ant colony optimization","Topology"
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, 2015 IEEE Symposium Series on
  • Print_ISBN
    978-1-4799-7560-0
  • Type

    conf

  • DOI
    10.1109/SSCI.2015.203
  • Filename
    7376779
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3726650