易腐货物运输配流的优化研究

Study on Optimization of Perishable Goods Transportation

研究了价值随时间流逝而损失的易腐货物运输的配流问题。首先推算出易腐货物价值损失计算公式,然后通过建立网格资源分配和任务调度模型,把所研究的问题转化为整数规划问题。通过设计基于长编码思想的自适应克隆选择算法,进行了模型求解。最后通过具体算例,证明了算法的有效性。

The paper establishes a computing fomula for the loss of perishable goods value. By constructing the grid resource allocation and scheduling task model, it transforms the transportation of perishable goods into an integer programming assignment problem and then it solves the model after designing the adaptive clone selection algorithm based on long-coding. And meanwhile it shows an example.