摘要
针对CGF协同控制优化问题,为解决仅凭招投标结果确定任务分配方案时只能获得局部最优且耗时较长的问题,首先构建了CGF能力向量和子任务要求的能力向量。在此基础上建立了效用函数数学模型。然后以全局效用最大为适应度函数,以反潜直升机协同搜素为背景。应用遗传算法对基于CGF偏好的投标矩阵进行任务分配全局优化。仿真验证表明,所建协同任务分配模型能够实现CGF协同决策优化。而且遗传算法能够很快收敛到全局最优解,有效地解决了舰空协同反潜中对潜搜索的协同任务分配问题。
Aiming at the question of optimizing CGF colaboration, in order to avoid only part optimized in allo cation scheme and consume long time using bidding results, first, utility function mathematical model based on CGF ability vector and the ability vector foundation of mission requirement are constructed, Second, using the suiting function with maximized overall utility, then apply inheritance algorithm to overall optimization for the tender matrix of CGF based on favoritism, the simulation indicates the CGF colaboration allocation model can realize that CGF colaboration control and decisionmaking optimized, and the application of inheritance algorithm can conver gent to overall optimization very fast. At last, this method solve effectively in task allocation of colaboration anti submarine submarine searching is indicated.
出处
《科学技术与工程》
北大核心
2012年第28期7421-7424,7429,共5页
Science Technology and Engineering
关键词
任务分配
效用
全局优化
遗传算法
task allocation utility global optimization genetic algorithm
