Parameter Evaluation of 3-parameter Weibull Distribution based on Adaptive Genetic Algorithm

DOI

10.2991/mecs-17.2017.78How to use a DOI?

Keywords

reliability life model; 3-parameter Weibull distribution; maximum likelihood estimation; adaptive genetic algorithm.

Abstract

In the determination of a reliability life model in 3-parameter Weibull distribution, there was large error and inefficient problem in parameter evaluation. Firstly, the maximum likelihood equation was made. Then the deficiency, lied in steps of using traditional genetic algorithm to solve the maximum likelihood equations, was optimized. An adaptive genetic algorithm was obtained that can be used to solve the maximum likelihood equations. Finally, compared the simulation results in MATLAB between adaptive genetic algorithm and traditional genetic algorithm, it can be concluded that the adaptive genetic algorithm was more efficiency and adaptable than the traditional genetic algorithm. This method also provided a reference to solving the similar problem in parameter evaluation.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chang-Jun Wen
AU  - Xin Liu
AU  - Xin Cheng
PY  - 2016/06
DA  - 2016/06
TI  - Parameter Evaluation of 3-parameter Weibull Distribution based on Adaptive Genetic Algorithm
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.78
DO  - 10.2991/mecs-17.2017.78
ID  - Wen2016/06
ER  -