Penalty guided genetic search for reliability design optimization
Computers and Industrial Engineering
A linear approximation for redundant reliability problems with multiple component choices
Computers and Industrial Engineering
An efficient heuristic for series-parallel redundant reliability problems
Computers and Operations Research
Immune algorithms-based approach for redundant reliability problems with multiple component choices
Computers in Industry - Special issue: Application of genetics algorithms in industry
On the computational complexity of reliability redundancy allocation in a series system
Operations Research Letters
| Hi-index | 12.05 |
This study presents a new method to reduce the redundancy in serial-parallel system with linear constraints. The complexity of this problem is known as NP-hard and therefore the optimal solution is not accessible in the normal course of events. The modeling formulation deals with the allocation of different units/components with various reliabilities and characteristics and the objective is to maximize the total reliability. We develop an efficient heuristic which could efficiently compete with other existing methods in the literature. Also a honey bee mating optimization algorithm is developed for the first time to solve the redundancy allocation problems with large number of constraints. The proposed methods are tested on various test problems especially the 33 existing benchmark instances in the literature. The preliminary results indicate that the proposed method yield promising results in a reasonable amount of time.