共查询到20条相似文献,搜索用时 171 毫秒
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舰空导弹防空反导作战效能优化建模研究是保证舰空导弹顺利、高效完成防空反导作战任务的关键。上述优化模型的建立属于一个复杂的多阶段、多目标优化建模问题。传统作战模式由于舰空导弹可射击时间较短,通常只考虑一次抗击过程,在协同作战模式下更需要一种综合考虑多次射击的防空反导效能优化模型。提出将舰空导弹的每一次射击作为一个阶段,每次发射的导弹数量和发射单元的配置模式作为变量,空袭目标对舰艇的威胁程度、对空防御资源的占用程度作为调整权重,利用动态规划的相关理论知识建立多阶段多目标优化动态规划模型。通过算例分析表明,采用优化建模方法能够优选每次射击的舰空导弹的发射数量和配置模式,提高舰空导弹防空反导作战效能。 相似文献
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一种新型非线性混合变量遗传优化算法及其应用研究 总被引:9,自引:0,他引:9
文章针对一般约束非线性混合整数规划问题,在设计了新的编码方案和遗传算子
的基础上,提出一种新型遗传优化算法.将其应用于对集群目标射击导弹作战效能优化问题
,验证了算法的有效性. 相似文献
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在武器火控系统效能分析的蒙特卡洛仿真中,判定拦截导弹是否命中目标是确定命中概率的重要步骤;通过对命中必要条件及弹目交会条件的研究,利用运动学原理将导弹和目标在地面坐标系中的运动转化为导弹在目标坐标系中的相对运动,建立相应的运动方程,讨论拦截导弹与目标碰撞的三种有效的检测方法,并对三种方法在同等模型下进行了命中概率分析比较;研究结果表明能为武器火控系统效能分析的数字仿真提供可靠、有效的命中目标判定方法及相应的计算机应用程序. 相似文献
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研究防御导弹拦截过程,导弹攻防对抗仿真是评估导弹突防效能的重要手段,导弹作战仿真为效能评估研究提供平台.针对HLA仿真框架下导弹攻防对抗仿真过程,提出了攻防导弹建立模型,并且以S函数模块作为中间件实现了与RTI的实时数据交互,以进程通信中的共享内存和事件技术实现了联邦成员与Simulink上的模型之间的同步,提高了分布式环境下导弹成员的建模效率,解决了导弹模型如何与RTI实时数据交互的问题.仿真证明,以Simulink对导弹进行建模、以S函数模块作为中间件实现与RTI的数据交互能够提高建模效率,且满足分布式系统实时实现防御的要求. 相似文献
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空对面激光制导导弹的仿真与作战效能评估 总被引:1,自引:0,他引:1
建立了激光制导导弹的数学模型,对激光制导导弹进行了弹道仿真。运用蒙特卡洛法进行了效能评估并给出了仿真结果。然后利用前两步的结果,在目标和任务已知的情况下求出了所需导弹数。以上模型及仿真结果为激光制导导弹在实战中的应用提供了参考。 相似文献
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Longyue Li Fuxian Liu Guangzheng Long Pengsong Guo Xiaofeng Bie 《Applied Intelligence》2016,44(3):471-488
One important mission of the strategic defense is to develop an integrated, layered Ballistic Missile Defense System (BMDS). We consider the problem of assigning interceptors to multiple waves of incoming ballistic missiles. This work addresses the issue of shot time constraints and directly allocates multiple targets to interceptors in the single engagement problem. A mathematical model and method for BMDS Interceptor resource planning (IRP) is presented. In addition to mathematical model, a modified particle swarm optimization RPPSO algorithm has been developed for solving complex IRP problem. This algorithm adapted a basic PSO algorithm to make it compatible with reasonable engineering problems. RPPSO was developed by embedding a reverse predictor within the basic algorithm to avoid premature convergence without significantly reducing convergence speed, and adding a repulsive force to keep the diversity of both local and global optima. Algorithm performance and experimental examples verified the benefits and specific applications of paper work. 相似文献
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Neural tree model has been successfully applied to solving a variety of interesting problems. In most previous studies, optimization
of the neural tree model was divided into two steps: first structure optimization, then parameter optimization. One major
problem in the evolution of structure without parameter information was noisy fitness evaluation. In this paper, an improved
breeder genetic programming algorithm is proposed to the synthesis of neural tree model. The effectiveness and performance
of the method are evaluated on time series prediction problems and compared with those of related methods. Simulation results
show that the proposed algorithm is a potential method with better performance and effectiveness. 相似文献
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针对电动汽车电量对于行驶里程的限制问题,建立用户预约分配模型,以得到利润最大时的订单分配结果。该类问题属于NP-hard问题,求解具有一定困难。因此,设计一种新型离散电磁场优化算法求解方法。在基本电磁场优化算法的基础上使用二进制编码方式,改变粒子移动方式,并对负电磁场中的电磁粒子增加更新过程。将提出的新算法与遗传算法、二进制粒子群算法、改进二进制布谷鸟算法及二进制狮群算法进行对比,数值实验表明新算法具有更高的计算效率。此外,与传统分配模型相比,新订单分配模型能够获得更高的利润,说明了该模型的有效性。 相似文献
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With the increasing number of satellite, the satellite control resource scheduling problem (SCRSP) has been main challenge for satellite networks. SCRSP is a constrained and large scale combinatorial problem. More and more researches focus on how to allocate various measurement and control resources effectively to ensure the normal running of the satellites. However, the sparse solution space of SCRSP leads its complexity especially for traditional optimization algorithms. As the validity of ant colony optimization (ACO) has been shown in many combinatorial optimization problems, a simple ant colony optimization algorithm (SACO) to solve SCRSP is presented in this paper. Firstly, we give a general mathematical model of SCRSP. Then, a optimization model, called conflict construction graph, based on visible arc and working period is introduced to reduce workload of dispatchers. To meet the requirements of TT & C network and make the algorithm more practical, we make the parameters of SACO as constant, which include the bounds, update and initialization of pheromone. The effect of parameters on the algorithm performance is studied by experimental method based on SCRSP. Finally, the performance of SACO is compared with other novel ACO algorithms to show the feasibility and effectiveness of improvements. 相似文献
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The optimization model of Directional Over Current Relays (DOCRs) coordination is considered non-linear optimization problem with a large number of operating constraints. This paper proposes a modified version for Water Cycle Algorithm (WCA), referred to as MWCA to effectively solve the optimal coordination problem of DOCRs. The main goal is to minimize the summation of operating times of all relays when they act as primary protective devices. The operating time of a relay depends on time dial setting and pickup current setting or plug setting, which they are considered as decision variables. In the proposed technique, the search space has been reduced by increasing the C-value of traditional WCA, which effects on the balance between explorative and exploitative phases, gradually during the iterative process in order to find the global minimum. The performance of proposed algorithm is assessed using standard test systems; 8-bus, 9-bus, 15-bus, and 30-bus. The obtained results by the proposed algorithm are compared with those obtained by other well-known optimization techniques. In addition, the proposed algorithm has been validated using benchmark DIgSILENT PowerFactory. The results show the effectiveness and superiority of the proposed algorithm to solve DOCRs coordination problem, compared with traditional WCA and other optimization techniques. 相似文献
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自主地面车辆在障碍物环境下的运动规划问题是一个包含非完整约束条件的全局优化问题。针对该优化问题,提出了一种基于参数化运动模型和改进粒子群优化算法的运动规划方法。该方法将车辆运动模型解耦为参数化弧长-曲率模型和速度模型,并采用混沌映射方法对粒子群优化算法进行了改进,将改进的粒子群优化算法应用于弧长-曲率模型中的参数优化问题。仿真结果证明了该方法的有效性,是自主地面车辆运动规划的一种较好方法。 相似文献
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人工神经网络结合遗传算法在建模和优化中的应用 总被引:35,自引:0,他引:35
用MATLAB构造了人工神经网络和遗传算法程序。人工神经网络用来建立数据样本间的函数关系,而遗传算法用来求解由该函数作为目标函数的优化问题。最后用一个实例对所编程序进行了测试,结果是令人满意的。 相似文献
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