基于优化蚁群算法的装备调拨决策系统研究与设计  

Research and Design on Decision-Making System for Equipment Distribution Based on Ant Colony Optimization Algorithm

作　　者：李玺[1] 陈立云[1] 高秀峰[1] 申吉红[1] 

机构地区：[1]军械工程学院信息工程系,河北石家庄050003

出　　处：《军械工程学院学报》2014年第1期5-8,共4页Journal of Ordnance Engineering College

基　　金：军队科研计划项目

摘　　要：将蚁群算法和遗传算法应用于装备调拨决策系统,实现了装备调拨决策信息的生成.同时利用遗传算法对蚁群算法的参数进行了优化,实验证明优化后的蚁群算法在平均路径长度、算法平均执行时间和总执行时间上较传统蚁群算法都有一定程度的改进.The ant colony algorithm and genetic algorithm are applied to decision-making system for equipment distribution and the generation of decision information for equipment distribution is achieved.At the same time,genetic algorithm is used to optimize the parameters of ant colony al-gorithm,and the experiments show that the optimized ant colony algorithm is better than the tra-ditional ant colony algorithm in the average path length,the average algorithm execution time and the total execution time.

关 键 词：蚁群算法 遗传算法 调拨决策 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]