一种战场弹药储备布局优化模型的自适应遗传算法  

An Adaptive Genetic Algorithm on Battlefield Ammunition Storage Layout Optimization Model

作　　者：潘伟[1] 吴晓平[1] 

机构地区：[1]沈阳炮兵学院,辽宁沈阳110162

出　　处：《系统仿真技术》2009年第2期92-96,104,共6页System Simulation Technology

基　　金：国家自然科学基金资助项目(60474069)

摘　　要：战场弹药储备布局优劣与否对作战效果影响很大,有时甚至会影响到战斗的结果。在运用有关军事规则对战场弹药储备布局问题进行详细分析的基础上,应用多目标决策的思想建立了数学模型,进而运用自适应遗传算法对模型进行了求解,从而获得战场弹药储备布局的最优方案。在该算法中,提出了1种既考虑进化代数对算法的影响,又考虑到每代不同个体适应度作用的自适应交叉概率和变异概率。That battlefield ammunition storage layout is good or bad hasmuch influence to the battle effect, sometimes it may influence theresult of the battle. On the basis of analyzing the characteristic of battlefield ammunition storage layout according to military rules, this paper constructs the mathematics model appying multi-objectived decision thinking, then adopts improved genetic algorithm to solve the model, thus acquires the best project of the battlefield ammunition storage layout. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of every generation to algorithm and the effect of different individual fitness in every generation

关 键 词：军事规则 多目标决策 自适应遗传算法 交叉概率 变异概率 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]