Abstract
Path optimization problem is an important component of Emergency Logistics. According to the emergency incidents occurring in Emergency Logistics, We build an uncertain programming model, which is based on the shortest travel time as the objective function, and make the model closer to reality. The model use the traffic time as fuzzy variable, the demand quantity of disaster location as random variable, and in consideration of vehicles required to service within a specified time window, otherwise it will cause more losses. A hybrid algorithm is proposed to solve the model. Results show the effectiveness and feasibility of the model and algorithm.
| Original language | English |
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| Title of host publication | Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010 |
| Pages | 1285-1289 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 6th International Conference on Natural Computation, ICNC'10 - Yantai, Shandong, China Duration: 10 Aug 2010 → 12 Aug 2010 |
Publication series
| Name | Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010 |
|---|---|
| Volume | 3 |
Conference
| Conference | 2010 6th International Conference on Natural Computation, ICNC'10 |
|---|---|
| Country/Territory | China |
| City | Yantai, Shandong |
| Period | 10/08/10 → 12/08/10 |
Keywords
- Emergency logistics
- Hybrid intelligent algorithm
- Path optimization
- Uncertain programming
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Ju, Y., Sun, L., & Wang, A. (2010). Path optimization based on hybrid intelligent algorithm of emergency logistics. In Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010 (pp. 1285-1289). Article 5583606 (Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010; Vol. 3). https://doi.org/10.1109/ICNC.2010.5583606