火力与指挥控制2012，Vol.37Issue(12)：27-30,4.
BP神经网络的遗传模拟退火算法动态选址仿真
Study on Dynamic Locating Simulation of Algorithm Based on BP Neural Network in Genetic and Simulated Annealing
摘要
Abstract
Considering the generalized maximal covering location model of dynamic locating on war zone equipments support system, we synthetically analyses the virtues and disadvantages of conventional total and partial searching algorithm, presents an algorithm based on BP neural network in genetic algorithm and simulated annealing algorithm, and applies this algorithm to the problem of dynamic locating, researches this algorithm's simulation, analyzes the simulation result. This algorithm can improve the solving convergence speed and precision of the best solution.关键词
遗传算法/BP神经网络/模拟退火算法/动态选址/仿真Key words
genetic algorithm/ BP neural network/ simulated annealing algorithm/ dynamic locating/simulation分类
管理科学引用本文复制引用
董鹏,罗朝晖,伍洁,张卫红..BP神经网络的遗传模拟退火算法动态选址仿真[J].火力与指挥控制,2012,37(12):27-30,4.基金项目
国家自然科学基金(70471042,70601011) （70471042,70601011）
海军工程大学自然科学基金资助项目(HGDQNJJ11038) （HGDQNJJ11038）
