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文章基本信息

  • 标题:Optimization of Warranty Cost using Genetic Algorithm: A Case Study in Fleet Vehicle
  • 本地全文:下载
  • 作者:Hairudin Abdul Majid ; Nur Hayati Kasim ; Azurah A. Samah
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2013
  • 卷号:3
  • 期号:4
  • 页码:199-202
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:Optimization is a process of making something better.Genetic Algorithm (GA) has been widely used in many applications specifically in optimization problem. This paper describes GA and its application to warranty problem in optimizing total cost of warranty. A detail procedure of GA process is provided in this paper. Initial point were created randomly and the survival are depends on fitness criterion. Improvement in every generation of GA process gives the fittest solution which is the most optimum. The results of GA give small error of parameter values while comparing with estimated values by using Maximum Likelihood Estimation (MLE).
  • 关键词:Fleet vehicle; Genetic Algorithm; Optimization; ;Warranty
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