摘要
传统的选址决策方法没有考虑需求变化和物价上涨等因素,而在现实情况中这些因素对决策结果的影响很大。针对战区装备保障点动态选址决策问题,建立了相应选址模型,分析了遗传算法、反向传播(Back Propagation,BP)神经网络和模拟退火算法的优缺点,给出了一种基于遗传模拟退火算法的BP算法。最后运用该算法对实例进行了分析计算,计算结果验证了该算法的有效性。
Conventional location decision-making methods do not consider such factors as demand variety and price rising,but these factors quite affect decision-making results in practice.Aiming at the problem of dynamic locating of the war zone equipment support system,a corresponding location model is designed,the virtues and flaws of genetic algorithm,back propagation neural network and annealing algorithm are analyzed,and a BP algorithm based on genetic algorithm and simulated annealing algorithm is provided.Finally,this algorithm is applied to calculate an example,the result verifies the correctness of this algorithm.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2011年第8期1804-1809,共6页
Systems Engineering and Electronics
关键词
战区装备保障点
动态选址
遗传算法
BP神经网络
模拟退火算法
war zone equipment support system
dynamic locating
genetic algorithm
BP neural network
simulated annealing algorithm
