Maximum Likelihood Method for Parameter Estimation of Weibull Distribution Model Based on Fruit Fly Optimization Algorithm

Xiang Ping Meng; Chuan Qi Zhao; Lei Huo

doi:10.4028/www.scientific.net/AMM.602-605.3508

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Maximum Likelihood Method for Parameter Estimation...

Maximum Likelihood Method for Parameter Estimation of Weibull Distribution Model Based on Fruit Fly Optimization Algorithm

Abstract:

It is difficult to estimate the parameters of Weibull distribution model using Maximum Likelihood Estimation based on Ant Colony Algorithm (ACA) or Particle Swarm Optimization theory (PSO) for which is easy to fall into premature and needs more variables, thus Fruit Fly Optimization Algorithm (FOA) theory is introduced into maximum likelihood estimation, and a parameter estimation method based on FOA theory is proposed, an example has been simulated to verify the feasibility and effectiveness of this method by comparing with ACA and PSO.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3508-3511

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3508

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Online since:

August 2014

Authors:

Xiang Ping Meng*, Chuan Qi Zhao, Lei Huo

Keywords:

Fruit Fly Optimization Algorithm (FOA), Maximum Likelihood-Estimation (MLE), Parameter Estimation, Weibull Distribution

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* - Corresponding Author

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