摘要
通过对多机协同空战中目标分配的分析,建立了目标优化分配的数学模型,并用标准遗传算法来求解该问题,模拟结果表明该算法能有效解决分配问题的有效性,最后通过应用“好”基因遗传算子对遗传算法进行改进。仿真结果表明,“好”基因遗传算子的搜索效率较改进前提高了近60%,这一优势在目标数量较大时尤为明显。
Based on the analysis of multi-aircraft coordination target assignment, an optimization mathematical model is presented. Then a genetic algorithm is applied to solving this problem, which is proved to be an effective algorithm in solving target assignment problems. Finally, the “good” gene is used in improving the efficiency of genetic algorithm. Simulation results show that the efficiency of the 'good' gene is improved almost to sixty percent. The advantage of the algorithm is more obvious in multi-aircraft environment.
出处
《空军工程大学学报（自然科学版）》
CSCD
北大核心
2005年第2期7-10,共4页
Journal of Air Force Engineering University(Natural Science Edition)
基金
军队科研基金资助项目
关键词
目标分配
遗传算法
“好”基因
target assignment
genetic algorithm
“good” gene
