Abstract
An improved Physarum-inspired model is proposed for solving a fuzzy supply chain network problem. To minimize the overall cost of a complex supply chain network, supply chain network is firstly transformed into a user equilibrium problem. Then, to address uncertainty along the link, the cost of each link is modelled as a fuzzy number. The original Physarum model is modified to obtain the flux of each link under fuzzy link cost condition. Compared with other Physarum-inspired methods, the proposed method can deal with fuzzy link cost in supply chain networks, which is a common circumstance in real applications. The experiment results of the numerical example demonstrate the convergence, feasibility and effectiveness of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 161-184 |
| Number of pages | 24 |
| Journal | International Journal of Unconventional Computing |
| Volume | 13 |
| Issue number | 2 |
| State | Published - 2017 |
Keywords
- Complex networks
- Fuzzy link cost
- Fuzzy number
- Physarum
- Supply chain network