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Abstract
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Article Information:
Optimal Censoring Scheme Selection Based on Artificial Bee Colony Optimization (ABC) Algorithm
K. Kalaivani and S. Somasundaram
Corresponding Author: K. Kalaivani
Submitted: September 13, 2014
Accepted: October 12, 2014
Published: July 20, 2015 |
Abstract:
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Life testing plans are more vital for carrying out researches on reliability and survival analysis. The inadequacy in the number of testing units or the timing limitations prevents the experiment from being continued until all the failures are detected. Hence, censoring grows to be an inheritably important and well-organized methodology for estimating the model parameters of underlying distributions. Type I and II censoring schemes are the most widely employed censoring schemes. The chief problem associated with the designing of life testing experiments practically is the determination of optimum censoring scheme. Hence, this study attempts to determine the optimum censoring through the minimization of total cost spent for the experiment, consuming less termination time and reasonable number of failures. The ABC algorithm is being employed in this study for obtaining the optimal censoring schemes. Entropy and variance serves as the optimal criterion. The proposed method utilizes Risk analysis to evaluate the efficiency or reliability of the optimal censoring scheme that is being determined. Optimum censoring scheme indicates the process of determining the best scheme from among the entire censoring schemes possible, in accordance to a specific optimality criterion.
Key words: Artificial Bee Colony optimization (ABC), censoring scheme, hazard rate, reliability, risk analysis, ,
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Cite this Reference:
K. Kalaivani and S. Somasundaram, . Optimal Censoring Scheme Selection Based on Artificial Bee Colony Optimization (ABC) Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (8): 844-852.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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