This paper researched the problem about nodes location and algorithm of continuous uncertain logistics network. For the uncertain demand of logsitics network, it measured each variables by the type of interval, established an interval nodes decision model for logistics network based on gravity method. It considered the practiced and applied characteristics of logistics network, then calibrated the property and interrelation of interval solution to realize the certain transformation of the solving model. It integrated interval operation and genetic algorithm, designed an interval interactive genetic algorithm to solve this problem. The result of a tested example shows that the algorithm has superiority of interval decision and more stronger practicing operability.%研究了连续型不确定性物流网络节点选址及算法问题.针对物流网络需求的不确定性,以区间的形式度量各种变量,建立基于重心法的物流网络区间节点决策模型.考虑物流网络实践应用性特征,对区间解的性质判定及关系比较进行标定,实现求解模型的确定性转换.将区间运算与遗传算法相结合,设计问题求解的区间迭代遗传算法.算例测试比较分析表明,该算法具有区间决策的优越性,实践可操作性更强.
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