Logistics nodes decision based on interval iterative genetic algorithm
基于区间迭代遗传算法的物流节点决策

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.