摘要
物流中心的布局决定了整个物流网络的结构、模式和形状,其合理性是有效保障物资的基本前提。针对问题的特点,在合理假设的前提下,给出了选址问题的模型,并以物流成本最低为目标函数运用人工智能领域的前沿算法——微粒群算法(PSO)与遗传算法(GA)的混合算法来求解。实例证明,该算法求解此类问题的性能优于传统的PSO和GA,搜索能力较,且收敛速度较快且不易陷入局部最优。
The layout scheme of logistics center decides the shape,pattern and the structure of the whole logistics network,and its reason ability is the premise of materials being supplied effectly.According to the characteristics of the problem,the optimal model of logistic cen ter location is presented based on reasonable assumptions.In order to achieve the lowest cost of logistics,the algorithm of forward position of this field,PSO—GA Hybrid Algorithm is used.Example proves that the hybrid algorithm can solve the problem better than traditional PSO and GA,for search ability,convergence speed,and not easy to fall into local optimal.
出处
《电脑知识与技术》
2012年第8X期5882-5884,共3页
Computer Knowledge and Technology
