XFlow教程

Orleans Actor模型编程框架 源码(Orleans Actor source code)

ABAQUS中硅材料参数定义方法，采用python参数化建模(How to define the anisotropic parameters of silicon in ABAQUS through python.)

Labview双通道信号采集，实现双通道同时采集与数据保存，简单易用(Labview dual channel signal acquisition, double channel simultaneous acquisition and data storage, simple and easy to use)

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说明：  模拟退火是 80 年代初发展起来的一种随机性组合优化方法。它模拟高温金属降温的热力学过程，并广泛应用于组合优化问题。基于模拟退火的粒子群优化算法是把模拟退火机制引入基本粒子群优化算法中，采用杂交粒子群优化算法中的杂交运算和带高斯变异的粒子群优化算法中的变异运算，以便进一步调整优化群体。(Simulated annealing is a stochastic combinatorial optimization method developed in the early 1980s. It simulates the thermodynamic process of high temperature metal cooling and is widely used in combinatorial optimization problems. The particle swarm optimization algorithm based on simulated annealing introduces the simulated annealing mechanism into the basic particle swarm optimization algorithm, and adopts the hybrid operation in hybrid particle swarm optimization algorithm and the mutation operation in particle swarm optimization algorithm with Gaussian mutation, so as to further adjust the optimization population.)

简单的原代码统计-simple statistics of the original code

WSN中基于博弈论知识的功率控制建模。无线传感器网络路由技术是利用节点相互协作完成数据传输，在保证网络可靠性的同时，尽量减少节点的能量消耗，均衡整个网络的能量消耗，从而延长网络的生命周期。(Power control modeling based on game theoretic knowledge in WSN. Routing technology of wireless sensor network node for data transmission is the use of mutual cooperation, to ensure the reliability of the network at the same time, to reduce the energy consumption of the nodes, balance the energy consumption of the whole network, so as to extend the network life cycle.)

PB 报表自定义工具，可让用户自定义报表格式及内容(PB Report Customization Tool)

说明：  模拟退火算法的资料Data of simulated annealing algorithm(Data of simulated annealing algorithm)

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