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Transmission network planning (TNP) is a large-scale, complex, with more non-linear discrete variables and the multi-objective constrained optimization problem. In the optimization process, the line investment, network reliability and the network loss are the main objective of transmission network planning. Combined with set pair analysis (SPA), particle swarm optimization (PSO), neural network (NN), a hybrid particle swarm optimization model was established with neural network and set pair analysis for transmission network planning (HPNS). Firstly, the contact degree of set pair analysis was introduced, the traditional goal set was converted into the collection of the three indicators including the identity degree, difference agree and contrary degree. On this bases, using shi(H), the three objective optimization problem was converted into single objective optimization problem. Secondly, using the fast and efficient search capabilities of PSO, the transmission network planning model based on set pair analysis was optimized. In the process of optimization, by improving the BP neural network constantly training so that the value of the fitness function of PSO becomes smaller in order to obtain the optimization program fitting the three objectives better. Finally, compared HPNS with PSO algorithm and the classic genetic algorithm, HPNS increased about 23% efficiency than THA, raised about 3.7% than PSO and improved about 2.96% than GA. 相似文献
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在介绍和分析了中国剩余定理和t-out-of-n秘密共享方案的基础上,提出了一个基于中国剩余定理的门限数字签名方案和一个基于离散对数的零知识证明方法.设计了一个具有入侵容忍功能的认证机构,并将中国剩余定理与RSA结合实现签字运算.此系统不仅有效地解决了私钥的秘密共享,而且减少了系统的计算量,提高了系统的运算效率. 相似文献
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为合理确定月球探测车车轮数目,借助地面力学的相关知识,考虑到车轮行驶时的沙土回弹沉陷量,建立了车轮前进与转弯时的轮地接触模型,进而推导了单个车轮的前进总阻力矩、转弯总阻力矩以及驱动力矩计算表达式。在一定范围轮宽与轮径条件下,得到了单轮驱动力矩、前进阻力矩和转向阻力矩与沉陷量之间的关系曲线。通过分析找到使车轮驱动效率较大的沉陷量区间。以此为基础,给出了合理选择车轮数目的操作流程图,并比较了不同轮数探测车的优缺点,可为全面合理确定车轮数提供参考。 相似文献
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为确保松软地面轮式移动机器人在较低的能耗下具有更好的通过性,基于地面力学理论分析了轮地接触力学特性,建立了轮地接触力学模型.通过对车轮驱动性能的研究,以车轮滑转率为状态变量,建立了车轮与松软地面相互作用的动力学模型,设计了用模糊驱动控制器来跟踪轮式移动机器人车轮的期望滑转率.MATLAB/SIMULINK仿真结果表明,该控制器可以在0.5s时间内有效地跟踪期望滑转率,使轮式移动机器人始终运行在最佳状态. 相似文献