PSo代码如何提供鼠标点击和帮助请用代码dcscsdcccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccccc
研究多目标遗传算法的优化，包含遗传算法过程中涉及的的各个步骤，非常适合于研究遗传算法及对遗传算法进行多目标优化的同学
A console application that estimates the value of PI using a variety of both serial and parallel implementations, the latter done with both PLINQ and the Parallel class.
使用二进制PSO解决0-1背包问题的MATLAB程序(The use of PSO to solve 0-1 knapsack problem)
说明： 超级容量计算，建议看此文献Hypervolume指标及其在多目标进化算法中的应用研究(Hypervolume Index and its application in multi - objective evolutionary algorithm)
采用改进的三维Hasin准则，考虑基体和纤维损伤，以及复合材料分层损伤( U91C7 u7539 u659 u8F09 u7F4 u7R4 u7354 u03 U6599 u5206 u5C42 u635F u4F24)
热分布问题实现，多线程，并行计算实验课作业(Realize the distribution of hot issues, multi-threaded, parallel computing operating experimental courses)
说明： N体问题，它是指在已知N个物体的初始位置、速度和质量的情况下，在牛顿经典力学情况下研究它们的运动，包括轨迹预测等。(Back to the specific N-body problem, it refers to the study of the motion of n-bodies in Newtonian classical mechanics, including trajectory prediction, when the initial position, velocity and mass of n-bodies are known.)
优化发动机传动比参数，使目标函数值最小，同时保持参数满足约束条件。(Optimizing Engine Drive Ratio Parameters)
说明： 优化发动机传动比参数，使目标函数值最小，同时保持参数满足约束条件。(Optimizing Engine Drive Ratio Parameters)
ABAQUS UMAT 线弹性模型，是二次开发最基本的例子，可供大家参考。(abaqus umat linear elastic model)
利用Python实现特征的MinMax标准化和Z-Score标准化两种特征归一化方法。并用原特征、两种归一化特征分别进行模型训练，比较模型性能。(Two normalization methods of MinMax normalization and Z-Score standardization are implemented by Python. The model is trained by the original feature and two normalization features respectively, and the performance of the model is compared.)
适合于新手学习并行化MPI程序以及并行思想学习(This is a parallel program learning material for beginners.)
MPI并行程序设计（都志辉） 经典的，关于并行计算的学习资料(MPI parallel programming (DU) classic study of information on parallel computing)
说明： Map reduce分布式计算，大数据分析再Hadoop的平台的使用(Map reduce distributed computing, big data analysis and the use of Hadoop platform)
提出了一种以目标函数变化量作为评价函数的改进禁忌搜索算法,并进行了理论分析,然后将其与有效禁忌搜索算法作了性能比较。通过比较三个公共测试数据集的计算结果,验证了本文提出的禁忌搜索算法的可行性和有效性。(Proposed a change in the objective function as the evaluation function of the improved tabu search algorithm, and has carried on the theoretical analysis, then made a performance comparison with tabu search algorithm is effective. By comparing the calculation results of three test data set, and verified the feasibility and effectiveness of the proposed tabu search algorithm.)
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