| Article ID: | iaor200968888 |
| Country: | United Kingdom |
| Volume: | 5 |
| Issue: | 2 |
| Start Page Number: | 211 |
| End Page Number: | 228 |
| Publication Date: | May 2009 |
| Journal: | International Journal of Operational Research |
| Authors: | Vasanthi T, Arulmozhi G |
| Keywords: | heuristics: genetic algorithms |
This paper proposes a genetic model to study the reliability optimisation in a Linear Consecutively Connected System (LCCS) by allocating M statistically independent Multi-state Elements with different characteristics to the first N positions. The system is reliable if the first position is connected with the (N + 1)th position. The reliability of LCCS is obtained using Universal Generating Function technique. The optimal allocation is obtained by means of Genetic Algorithm. In our work, for the one-to-one allocation, the Permutation Crossover is used, which reduces the complexity of the problem, and also yield better result.