模拟退火算法改进BP算法的区域物流中心选址

合理的区域物流中心选址是加速区域物流网络升级优化,促进经济持续、健康、稳定发展的基础。文中运用模拟退火算法改进BP学习算法构成一种新的优化算法,通过学习和迭代求出问题的解。首先,运用精确的数学模型描述BP学习算法,并通过图形阐明模拟退火算法改进BP算法的流程;然后,针对改进后的算法规划了6个选址步骤;最后,通过具体选址实例,验证改进算法和步骤的有效性。文中研究的算法在收敛稳定性、收敛速度、初值敏感性等方面具有良好的效果,表现出高效、实用、简洁的特性。

Regional Logistics Center Location of Simulated Annealing Algorithm Improving BP Algorithm

The reasonable regional logistics center location is the base to accelerate the upgrading of regional logistics network optimization,and promote economy sustained, healthy and stable development. In this paper, use simulated annealing algorithm to improve BP learning algorithm and constitute a new optimization algorithm, through learning and iterative to solve problem. First, with a precise math- ematical model describe the BP learning algorithm and clarify the processes of simulated annealing algorithm to improve BP algorithm through graphical. Second, plan six sites steps for the improved algorithm. Finally, demonstrate the effectiveness of improved algorithms and procedures through a specific site examples. In this paper, the algorithm has a good effect on convergence stability, convergence speed and initial sensitivity, which shows the efficient, practical, simple features.