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  1. 本文研究了多部雷达联合发现目标概率,并采用MonteCarlo模拟计算面积和遗传算法寻优相结合来计算多部雷达最佳部署。

    In this paper , the target detection joint probability of multiple sets of radar is researched . the optimal deploy problem of multiple sets of radar is solved by use of Monte Carlo method for calculating square and genetic algorithm to find the optimal result .

  2. 其次,针对立体匹配过程中的遮挡现象影响匹配精度的问题,提出了在构造出的能量代价函数的基础上,将遮挡约束和动态规划寻径相结合的方法来解决这一问题。

    A method based on the constructed energy cost function is proposed . Here , the occlusion constraint and the dynamic routing are mixed together to solve it .

  3. 采用神经网络建模与遗传算法寻优相结合的方法,优化了以水洗麦麸为主要原料的猴头菌固态发酵的培养基组分。

    Artificial neural networks and genetic algorithms formalisms were used for modeling the non-linear relationship between the fermentation media and soluble dietary fiber production and optimizing the model , respectively .

  4. 该算法将量子计算的特性与进化算法的寻优能力相结合,具有优良的特性。

    Combining the characteristics of quantum computing algorithm with the capacity of global optimization of evolutionary algorithm , the algorithm has many excellent characteristics .

  5. 将遗传算法与一维局部寻优算法相结合,构造了一混合遗传算法,并将其用于气动力参数辨识,以取代通常采用的梯度类优化算法。

    So a hybrid GA , which combines the GA with 1-dimensional local optimization algorithm , is constructed in this paper and applied in aerodynamic parameter estimation to replace those conventional gradient-based optimization methods .

  6. 在优化控制中用常规控制与热效率在线自寻最优控制相结合的方法,组成加热炉热效率最优控制系统,以实现系统热效率最大。

    The cascade control loop is used in the system to make the stability of outlet temperature . To get the maximum thermal efficiency of the system , control algorithm adopts the combination of routine control and online self-searching optimal control .

  7. 针对柴油机模型自身的特点,设计了一种神经网络与参数自寻优PID控制相结合的控制器。

    This paper designs a diesel controller which contains a parameter_optimizing PID controller and a neural network controller based on model of diesel .

  8. 本文在满足无人机安全突防的前提下,将自学习实时A算法(LRTA)与多步寻优搜索算法相结合,对航迹进行规划和重规划。

    In conditions of meeting the safety penetration of UAV , we combine self-learning Areal-time algorithm with multi-step optimizing-search algorithm in order to plan and re-plan path .

  9. 本文仅以四川的法律服务业为例,进行审时度势的调查分析,以期能寻得与之相适应的应对措施。

    In order to find the suitable measures this article uses the legal service of SiChuan province as example and analyzes the current case .

  10. 该方法将智能寻优与物理寻优相结合,提高了全局寻优的效率。

    The method combines intelligent optimization with physical optimization , which improves the searching efficiency of global optimization .

  11. 将改进的PSO全局寻优算法和Powell局部寻优算法相结合对配电网进行优化规划,并对不可行解进行选择性修复,增加了算法的开发能力,提高了局部寻优能力。

    The union improvement PSO algorithm and the Powell optimization algorithm to optimize distribution network planning , and the production of the lots of infeasible solutions have been restored selectivity , to balance the exploitation and local search abilities .