物资采购流行性预测问题的蚁群算法

A Colony Algorithm for Commodity Purchase Epidemic Forecast Problem

摘要: 物资采购流行性预测是现代物流中的一个重要环节，是一种典型的组合优化问题。为使物流生产达到最佳效果，提出了一种基于下模函数下的蚁群算法，对物资采购中的流行性预测问题作出解答。该蚁群算法结合了贪婪算法是对一般蚁群算法的改进，最后以实验表明该算法在解决物资采购流行性预测问题是有效的。

Abstract: Material procurement epidemic of modern logistics in the forecast is an important topic, and is a typical combinatorial optimization problem. To make the logistics of production to achieve the best results, a colony algorithm solving the problem of purchasing epidemic forecast is presented. This colony algorithm is an improved algorithm that is combined with the greedy algorithm. Finally, experimental results show that algorithm in solving the problem of purchasing epidemic forecast is valid.