Parameter Estimation of Weibull Distribution Model Based on Ant Colony Algorithm

Abstract:

It is difficult to estimate the parameters of Weibull distribution model using maximum likelihood estimation based on particle swarm optimization (PSO) theory for which is easy to fall into premature and needs more variables, ant colony algorithm theory was introduced into maximum likelihood method, and a parameter estimation method based on ant colony algorithm theory was proposed, an example was simulated to verify the feasibility and effectiveness of this method by comparing with ant colony algorithm and PSO.This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.

• Periodical: Advanced Materials Research (Volumes 1070-1072)
• Pages: 2073-2078
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1070-1072.2073
• Online since: December 2014
• Authors: Xiu Ji, Hui Wang, Chuan Qi Zhao, Xu Ting Yan
• Keywords: Ant Colony Algorithm, Maximum Likelihood Method (MLE), Parameter Estimation, Weibull Distribution

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