Weibull Distribution Parameter Estimation of the Algorithm Based on the Improved Flies

DOI

10.2991/isci-15.2015.86How to use a DOI?

Keywords

Weibull distribution; Parameter estimation; Maximum likelihood estimation; Fruit flies optimization algorithm

Abstract

Based on weibull distribution model parameters of maximum likelihood estimation process trival, is obtained by using the Newton method and adopting the particle swarm optimization algorithm is easy to fall into premature and program variables is more complicated problems in the implementation, put optimization algorithm is introduced into maximum likelihood method, and to improve the conventional fruit flies algorithm is introduced into step length factor, put forward the optimization algorithm based on improved fruit flies weibull distribution parameters estimation method, and compared with Newton's method and were compared with normal flies algorithm of particle swarm optimization (pso), the feasibility and effectiveness of the method is verified by examples.

Copyright

© 2015, 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/).

Download article (PDF)

TY  - CONF
AU  - Xiu Ji
AU  - Hui Wang
AU  - Chuan-qi Zhao
AU  - Yuan Si
PY  - 2015/01
DA  - 2015/01
TI  - Weibull Distribution Parameter Estimation of the Algorithm Based on the Improved Flies
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 647
EP  - 654
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.86
DO  - 10.2991/isci-15.2015.86
ID  - Ji2015/01
ER  -