货物跟踪信息集成平台中的网络信息搜索算法设计

Design of Algorithm for Network Information Search in Information Integrated Platform of Cargo Tracking

目前在网络信息搜索算法中,主要有动态规划法、分枝界定法、节约算法、遗传算法等。其中使用最多的是遗传算法,但是传统的遗传算法存在局部搜索能力不足的问题。本文以国际货运代理货物跟踪信息平台网络信息搜索算法为研究对象,对遗传算法进行改进,从而满足实际的业务。

At present, the mainly network information search algorithms include dynamic programming,branch and bound methods, saving algorithm and genetic algorithm. Currently, the most widely used is the genetic algorithm. However, the traditional genetic algorithm does not perform well in local search. This paper, by studying the network information search algorithm of international freight forwarder cargo tracking information platform, improves the genetic algorithm to meet real business requirements.