Title :
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
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;
Conference_Titel :
Reliability and Maintainability Symposium, 2006. RAMS '06. Annual
Conference_Location :
Newport Beach, CA
Print_ISBN :
1-4244-0007-4
Electronic_ISBN :
0149-144X
DOI :
10.1109/RAMS.2006.1677387
