文章基本信息

标题：Parameter Estimation of Warranty Cost Model using Genetic Algorithm
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作者：Nur Hayati Kasim ; Hairudin Abdul Majid ; Azurah A. Samah 等
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：5
页码：163-166
出版社：International Journal of Soft Computing & Engineering
摘要：Parameter estimation can also be classified as an optimization where the objective is to find the values of some unknown parameters in which the objective function is minimized or maximized. Several methods can be used in estimating parameter including Genetic Algorithm (GA). GA has been widely used in many applications specifically in optimization problem. This paper propose GA as a method to estimate the parameter of warranty cost model with warranty claim data collected from Malaysian automotive industry. Various combinations of GA operators are carried out. Maximum Likelihood Estimation (MLE) method is employed in order to have a comparable solution for the model parameters of warranty cost. The performance of GA in warranty cost model is measured based on Residual Sum of Squares (RSS) and Mean Squared Error (MSE).
关键词：Genetic Algorithm; parameter estimation;likelihood function; warranty.