Title :
Multi-path heuristic for redundancy allocation: the tree heuristic
Author :
Ha, Chunghun ; Kuo, Way
Author_Institution :
Production Technol. Team, LCD Dev. Center, Cheonan, South Korea
fDate :
3/1/2006 12:00:00 AM
Abstract :
A tree heuristic is presented for solving the general redundancy allocation problem in reliability optimization. The tree heuristic can obtain several local optima by branching off the main searching path when some criterions are satisfied. Then, the best local optima is selected for the final solution. The tree heuristic is a simple, efficient, iterative heuristic for any integer nonlinear programming problems with increasing constraint functions. Iterative heuristics are normally trapped in a local optimum. However, the tree heuristic can overcome local optima by branching the solution path. The experiments show that the proposed heuristic is very efficient in terms of solution quality, and computation time.
Keywords :
integer programming; iterative methods; nonlinear programming; redundancy; reliability; trees (mathematics); iterative heuristic; multipath heuristic tree; nonlinear integer programming; redundancy allocation; reliability optimization; Functional programming; Genetic algorithms; Helium; Iterative algorithms; Production; Redundancy; Reliability; Resource management; Strontium; Upper bound; Redundancy allocation; reliability optimization; tree heuristic;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.2005.859227