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

被引：0
|
作者：
Alabas, C [1 ]
Altiparmak, F [1 ]
Dengiz, B [1 ]
机构：
[1] Gazi Univ, Dept Ind Engn, TR-06570 Ankara, Turkey
来源：
PROCEEDINGS OF THE 2000 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2 | 2000年
关键词：
kanban; just in time system; simulation optimization; genetic algorithms; simulated annealing; tabu search;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：580 / 585
页数：6
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