• DocumentCode
    114367
  • Title

    A new discrete eel swarm intelligence algorithm

  • Author

    Sun Yao-sheng ; Huang Zhang-can ; Chen Yu ; Yuan Chao

  • Author_Institution
    Sch. of Sci., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2014
  • fDate
    26-28 April 2014
  • Firstpage
    813
  • Lastpage
    816
  • Abstract
    Inspired by the migration behaviours of eels, we propose a new discrete eel swarm intelligence algorithm in this paper. First, this paper analyzes the behaviours of eels, then establishes a mathematical model of the important behaviour being extracted. Based on rational organization of three important behaviours of eel, namely concentration adaptation, neighbourhood learning and gender mutation, the discrete eel swarm intelligence algorithm is proposed for combinatorial optimization problems. Finally, numerical experiments on the TSP problem and the permutation flow-shop scheduling problem show that the algorithm has strong optimization capability and accuracy.
  • Keywords
    flow shop scheduling; learning (artificial intelligence); swarm intelligence; travelling salesman problems; TSP problem; combinatorial optimization problems; concentration adaptation; discrete eel swarm intelligence algorithm; eel behaviour analysis; gender mutation; neighbourhood learning; permutation flow-shop scheduling problem; rational organization; Algorithm design and analysis; Approximation algorithms; Marine animals; Optimization; Particle swarm optimization; Sociology; Statistics; concentration adaptation; gender mutation; neighborhood learning; optimization problem; swarm intelligence algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2014 4th IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ICIST.2014.6920601
  • Filename
    6920601