• DocumentCode
    1634193
  • Title

    DEM: A discrete electromagnetism-like mechanism for solving discrete problems

  • Author

    Aghalatifi, Omid ; Bonyadi, Mohammad Reza

  • Author_Institution
    ECE Fac., Islamic Azad Univ., Tehran, Iran
  • fYear
    2009
  • Firstpage
    120
  • Lastpage
    125
  • Abstract
    In this paper a novel model based on electromagnetism-like mechanism (EM) is proposed which is highly compatible with discrete space problems. The proposed method utilizes the EM operators to move particles towards an optimal or near optimal solutions. In fact, the proposed algorithm exploits the crossover operator to calculate forces on particles and move them according to these forces. To keep the algorithm from getting sock on local maxima a mutation approach is used. To show the performance of the proposed method it is applied on a discrete space problem called multidimensional knapsack problem (MKP). To compare our results, some standard test benches of the MKP are used and the results are compared with other methods. Experimental results showed that the proposed method outperforms some new methods in terms of the number of needed iterations to find best known solutions (about 73% in average) and CPU time (about 77%). Furthermore, the DEM is applied on some bigger MKPs and the experiments showed that the algorithm works very well and had very small error from best known optimums (0.17% error in average).
  • Keywords
    artificial intelligence; knapsack problems; optimisation; DEM; EM operators; crossover operator; discrete electromagnetism-like mechanism; discrete problems; discrete space problems; multidimensional knapsack problem; mutation approach; Ant colony optimization; Approximation algorithms; Computer errors; Electromagnetic modeling; Genetic algorithms; Multidimensional systems; NP-hard problem; Optimization methods; Particle swarm optimization; Testing; Electromagnetism-Like Meta-Heuristic; Multidimensional Knapsack Problem; NP-Hard; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on
  • Conference_Location
    Daejeon
  • Print_ISBN
    978-1-4244-4808-1
  • Electronic_ISBN
    978-1-4244-4809-8
  • Type

    conf

  • DOI
    10.1109/CIRA.2009.5423222
  • Filename
    5423222