The optimization of number of kanbans with genetic algorithms, simulated annealing and tabu search


Alabas C., Altiparmak F., Dengiz B.

2000 Congress on Evolutionary Computation (CEC2000), California, United States Of America, 16 - 19 July 2000, pp.580-585 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/cec.2000.870349
  • City: California
  • Country: United States Of America
  • Page Numbers: pp.580-585

Abstract

In this paper, three simulation search heuristic procedures based on genetic algorithms, simulated annealing and tabu search were developed and compared both with respect to the best results achieved by each algorithm in a limited time span and their speed of convergence to the results for finding the optimum number of kanbans while minimizing cost in a Just in Time manufacturing system.