摘要
带模糊目标的地空导弹系统,其系统可靠性分配模型的基于遗传算法求解。先采用实数编码,即以染色体的基因座表示导弹系统各子系统编号并初始化。再结合旋转轮盘赌和最优化选择新一代染色体。并以算术杂交算子选择两个父代配对,均匀变异产生子代。最后通过适应值函数评价染色体。
The reliability-assignment optimization model of the surface to air missile system with fuzzy goals is based on genetic algorithm. Firstly, chromosomes were initialized utilizing real-number encoding by numbering them with the subsystem numbers of missile system. After doing that, the new generation was selected by synthesizing roulette wheel and optimization selecting. And then, mate of two father generation chromosomes were selected by arithmetical crossover to generate sub-generation. In the end, evaluate the chromosome by fitness function.
出处
《兵工自动化》
2005年第3期17-18,共2页
Ordnance Industry Automation
关键词
遗传算法
模糊目标
导弹武器系统
可靠性分配
Genetic algorithm
Fuzzy goals
Missile weapon system
Reliability-assignment
