Elevator Group Control by Using Talented Algorithm

  • Ulvi Dagdelen
  • Aytekin Bagis
  • Dervis Karaboga
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3949)


A simple and efficient control approach based on an operation strategy with a talented algorithm is presented for the elevator group control. In order to analyze the performance of the presented system, the control method was evaluated by considering different performance characteristics. The results of the method were compared with the results of the area weight algorithm. The results obtained from the simulations indicated that the presented approach exhibits high performance over the area weight algorithm with the minimum time consumption results.


Task List Average Waiting Time Average Journey Time Group Controller Elevator System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Kim, C.B., Seong, K.A., Kwang, H.L., Kim, J.O.: Design and Implementations of a Fuzzy Elevator Group Control System. IEEE Trans. on Systems Man and Cybernetics-Part A 28(3), 277–287 (1998)CrossRefGoogle Scholar
  2. 2.
    Ishikawa, T., Miyauchi, A., Kaneko, M.: Supervisory Control for Elevator Group by Fuzzy Expert System Which Also Addresses Traveling Time. In: Proceeding of IEEE International Conference on Industrial Technology, pp. 87–94 (2000)Google Scholar
  3. 3.
    Tobita, T., Fujino, A., Segawa, K., Yoneda, K., Ichikawa, Y.: A Parameter Tuning Method for an Elevator Group Control System Using a Genetic Algorithm. Electrical Engineering in Japan 124(1), 55–64 (1998)CrossRefGoogle Scholar
  4. 4.
    Fujino, A., Tobita, T., Segawa, K., Yoneda, K., Togawa, A.: An Elevator Group Control System with Floor–Attribute Control Method and System Optimization Using Genetic Algorithm. IEEE Trans. On Industrial Electronics 44(4), 546–552 (1997)CrossRefGoogle Scholar
  5. 5.
    Cho, Y.C., Gagov, Z., Kwon, W.H.: Elevator Group Control with Accurate Estimation of Hall Call Waiting Times. In: IEEE Proceeding of Te International Conference on Robotics &Automation, pp. 447–452 (1999)Google Scholar
  6. 6.
    Ho, Y.W., Fu, L.C.: Dynamic Scheduling Approach The Group Control of Elevator Systems with Learning Ability. In: IEEE Proceeding of The International Conference on Robotics & Automation, pp. 2410–2415 (2000)Google Scholar
  7. 7.
    Gudwin, R., Gomide, F., Netto, M.A.: A Fuzzy Group Controller with Linear Context Adaptation. In: Fuzzy Systems Proceedings, pp. 481–486 (1998)Google Scholar
  8. 8.
    Crites, R.H., Barto, A.G.: Elevator Group Control Using Multiple Reinforcement Learning Agents. Machine Learning 33, 235–262 (1998)CrossRefMATHGoogle Scholar
  9. 9.
    Kim, C.B., Seong, K.A., Kwang, H.L., Kim, J.O., Lim, Y.B.: A Fuzzy Approach to Elevator Group Control System. IEEE Trans. on Systems Man and Cybernetics 25(6), 985–990 (1995)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ulvi Dagdelen
    • 1
  • Aytekin Bagis
    • 1
  • Dervis Karaboga
    • 2
  1. 1.Dept. of Electronic Eng.Erciyes UniversityKayseriTurkey
  2. 2.Dept. of Computer Eng.Erciyes UniversityKayseriTurkey

Personalised recommendations