基于蝙蝠算法的多目标战备物资调运决策优化  

Decision Optimization of Multi-objective War Material Transportation Baesd on Bat Algorithm

作　　者：张斯嘉[1] 郭建胜[1] 钟夫 罗承昆 

机构地区：[1]空军工程大学,西安710051

出　　处：《火力与指挥控制》2016年第1期58-61,共4页Fire Control & Command Control

基　　金：陕西省自然科学基金资助项目(No.2013JM1003)

摘　　要：战备物资的调运是部队后勤工作中十分重要的一环,面对复杂多变的战场环境,战备物资调运必须进行科学合理的决策优化。然而现有战备物资调运模型的优化模型较为复杂,如果涉及较多供应点和目标要求则不易实现。针对涉及多个调运点的多目标战备物资调运问题,提出一种新的决策优化模型,利用启发式蝙蝠算法进行优化计算,发挥出蝙蝠算法易于实现、性能优越的特点,较好地解决了涉及较多供应点的多目标战备物资调运决策优化问题,并结合一个仿真算例,证明该方法相对于其他方法更具简易性和有效性。The transportation ＂of war material is a vital role in military logistics. How to make a scientific and reasonable decision optimization of war material transportation in changing war environment is a hot topic.The existing models of war material transportation are complex and difficult to implement when there are abundant involved provider and multi-objective.To overcome these problems,a new decision optimization model has been presented with heuristic bat algorithm. A simulation case which describes multi-objective war been given to testify the facility and availabilitv of bat material transportation decision optimization has algorithm.

关 键 词：蝙蝠算法 战备物资调运 多目标 决策优化 

分 类 号：TP273.23[自动化与计算机技术—检测技术与自动化装置]