원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.3
2015.03
pp.387-394
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
According to the cluster analysis of the logistics demand points, it can help logistics conveniently select reasonable logistics distribution center, then to reduce their transportation costs, and improve transport efficiency. This thesis firstly introduces the CURE algorithm and UFLP model, then, proposes an improved algorithm based on CURE, and describes the specific process. Finally, it also proves the algorithm's effectiveness and superiority for choosing Logistics Centre based on the numerical experiments.
목차
Abstract
1. Introduction
2. CURE
3. UFLP Logistics Location Model
4. Improved CURE Algorithm
5. The Experiment and its Results
6. Conclusion
References
1. Introduction
2. CURE
3. UFLP Logistics Location Model
4. Improved CURE Algorithm
5. The Experiment and its Results
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보