模糊聚类遗传算法在军事装备物流中心选址中的应用

Application of Fuzzy Clustering Genetic Algorithm to Military Equipment Logistics Center Location

在分析军事装备物流中心选址问题基础上,构建了模糊聚类和遗传算法的混合算法模型,核心技术是把模糊聚类网络模型融合到遗传算法种群构建中,可以有效地避免遗传算法易出现早熟的现象,验证了算法具有很好的鲁棒性和可信度,仿真结果能够为决策者科学正确的选址提供一定的参考.

This paper analyzes the military equipment logistics center location problem and based on the analysis, builds the hybrid algorithm model which combines fuzzy clustering and genetic algorithm. The core technology is to integrate the fuzzy clustering network model into genetic algorithm in the process of building groups, which can effectively avoid the possibility for genetic algorithm to be prone to premature. The algorithm has been validated to be robust and reliable. The simulation results offer certain references for policy-makers to select the location more scientifically.