CAJ | 학술논문

电子干扰成功压制威胁目标对突防作战起着关键性的作用，针对理想环境下优化模型的不足，考虑到实战环境下的约束条件和干扰需求，构建了干扰目标的优化分配模型；对于参变量和约束条件增多时，传统算法求解速度慢，甚至无法求得最优解，为此，引入遗传算法，改进编码、染色体和遗传算子的设计，通过具体算例建立模型和求解，并与模拟退火算法进行比较分析，结果表明改进遗传算法搜索最优解的速度和可靠性都优于模拟退火算法。最后给出了干扰目标分配的最优方案，为实现干扰的最佳压制效能提供了科学决策。
전자간우성공압제위협목표대돌방작전기착관건성적작용，침대이상배경하우화모형적불족，고필도실전배경하적약속조건화간우수구，구건료간우목표적우화분배모형；대우삼변량화약속조건증다시，전통산법구해속도만，심지무법구득최우해，위차，인입유전산법，개진편마、염색체화유전산자적설계，통과구체산례건립모형화구해，병여모의퇴화산법진행비교분석，결과표명개진유전산법수색최우해적속도화가고성도우우모의퇴화산법。최후급출료간우목표분배적최우방안，위실현간우적최가압제효능제공료과학결책。
Electronic jamming represses successfully threat target which plays a key role for penetration battle, aiming at the shortcomings of the optimization model on ideal environment, considering constraint condition and interference requirements on the practical battle, constructing the model of optimal allocation on jamming target, when constraint and parameters increase constantly, the traditional algorithm is very slow, which can’t even get the optimal solution. So introduce genetic algorithm, improve encoding, chromosome and design of genetic operators. The concrete example is given to construct model and the result is given, comparing with simulation annealing algorithm analysis, the results show that the improved genetic algorithm to search speed and reliability of the optimal solution is better than that of the simulated annealing algo-rithm. The optimal solution of interference target and scientific decision for realization of the optimization interference suppression efficiency are provided.