Parameter Evaluation of 3-parameter Weibull Distribution based on Adaptive Genetic Algorithm
Chang-Jun Wen, Xin Liu, Xin Cheng
Available Online June 2016.
- https://doi.org/10.2991/mecs-17.2017.78How to use a DOI?
- reliability life model; 3-parameter Weibull distribution; maximum likelihood estimation; adaptive genetic algorithm.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/mecs-17.2017.78 ID - Wen2016/06 ER -