DocumentCode :
1355343
Title :
Reliability Optimization with the Lagrange-Multiplier and Branch-and-Bound Technique
Author :
Kuo, Way ; Lin, Hsin-Hui ; Xu, Zhongkai ; Zhang, Weixing
Author_Institution :
212 Marston; Department of Industrial Engineering; Iowa State University; Ames, Iowa 50011 USA.
Issue :
5
fYear :
1987
Firstpage :
624
Lastpage :
630
Abstract :
A method has been developed for constrained reliability optimization problems. This method incorporates the Lagrange multiplier method and the branch-and-bound technique. The Lagrange multiplier method treats the number of redundancies as real numbers. Once a real number solution is obtained, the branch-and-bound technique is used to obtain the integer solution. With our method, a 4-stage series system with two linear constraints is illustrated for the redundancy allocation problem, and a 5-stage series system with three nonlinear constraints is illustrated for the reliability-redundancy allocation problem. The results show that our method is better than previous methods for both the redundancy allocation problem and the mixed integer-type reliability-redundancy allocation problem. Our method also provides more reasonable explanations when solving reliability optimization problems.
Keywords :
Computational efficiency; Constraint optimization; Dynamic programming; Lagrangian functions; Linear programming; Newton method; Optimization methods; Redundancy; Reliability engineering; Systems engineering and theory; Branch-and-bound; Integer programming; Kuhn-Tucker conditions; Lagrange multiplier method; Mixed integer programming; Newton´s method; Reliability optimization;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/TR.1987.5222487
Filename :
5222487
Link To Document :
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