A new method of system reliability multi-objective optimization using genetic algorithms

Author

Huang, Hong-Zhong ; Qu, Jian ; Zuo, Ming J.

Author_Institution

Sch. of Mechatronics Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2006

fDate

23-26 Jan. 2006

Firstpage

278

Lastpage

283

Abstract

A multi-objective optimization algorithm for solving a mixed-integer programming problem that normally arises in system-reliability design is proposed. Our algorithm uses a genetic algorithm based on Pareto tournament and equivalence sharing, and a population-based constraint handling method. To evaluate the performance of the algorithm, we apply it in a practical reliability optimization problem. The results show that the proposed algorithm is very effective for solving the problems

Keywords

Pareto analysis; constraint handling; genetic algorithms; integer programming; reliability; Pareto tournament; equivalence sharing; genetic algorithms; mixed-integer programming problem; multiobjective optimization algorithm; population-based constraint handling method; reliability optimization problem; system-reliability design; Algorithm design and analysis; Costs; Design optimization; Fuzzy systems; Genetic algorithms; Optimization methods; Pareto optimization; Protection; Redundancy; Reliability;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability and Maintainability Symposium, 2006. RAMS '06. Annual

Conference_Location

Newport Beach, CA

ISSN

0149-144X

Print_ISBN

1-4244-0007-4

Electronic_ISBN

0149-144X

Type

conf

DOI

10.1109/RAMS.2006.1677387

Filename

1677387