CAJ | 학술논문

为快速求解坦克分队武器-目标分配（Weapon-Target Assignment,WTA）模型,对基本遗传算法的关键步骤进行改进,设计了独特的基于火力单元排序的战术种群初始化策略,引入小生境共享函数和参数自适应机制,完成了基于小生境自适应改进遗传算法的设计与实现。最后进行了仿真试验,试验结果表现出了良好的收敛效果。
위쾌속구해탄극분대무기-목표분배（Weapon-Target Assignment,WTA）모형,대기본유전산법적관건보취진행개진,설계료독특적기우화력단원배서적전술충군초시화책략,인입소생경공향함수화삼수자괄응궤제,완성료기우소생경자괄응개진유전산법적설계여실현。최후진행료방진시험,시험결과표현출료량호적수렴효과。
In order to solve the tank element Weapon-Target Assignment （WTA） model rapidly, several key operations in basic genetic algorithm are improved. A unique fire-unit-sorting-based tactical population initialization method is addressed. Adopting the niche shared function and parameters self-adaptive mechnism accomplishes the design of an improved Niche-based Adaptive Genetic Algorithm（NAGA）. In the end, the simulation for real time and reliability is tested. The results test illustrate that this algorithm is valid with better convregent effect.