Field_ampl_analy

用Python语言写的多目标进化算法库（2017年最新版本），包含常见的多目标进化算法以及当前最新文献中的最新算法，能够实现不同算法之间的性能比较（包含常见的GD, IGD, HV等评价指标自动生成）。可以供进化计算、多目标优化、单目标优化算法的学习参考。Python语言版本简单易懂，实用性强。(Library of multi-objective evolutionary algorithm written in Python language (the latest version in 2017), including multi-objective evolutionary algorithm and the most common new literature in the new algorithm, can realize the performance between different methods (including the common GD, IGD, HV and other evaluation index generation). It can be used as a reference for evolutionary computation, multi-objective optimization and single objective optimization. Python language version is simple and easy to understand, practical.)

fluent软件UDF，用于焊接过程模拟，是高斯分布的面热源。(weld heart source)

用于求解二维欧拉流动方程的有限差分程序,基于NND法,求解精度较高.(Perfect fortran program by two dimensional NND finite difference method for Euler Equations on unstructured Grids, structured Grids and adaptive unstructured Grids. )

说明：  带有不等式/等式约束的加速粒子群算法（apso），主要通过罚函数来进行约束，速度较快，可处理带约束问题(Accelerated particle swarm optimization (APSO) with inequality / equality constraints, which is mainly constrained by penalty function, is fast and can deal with constrained problems)

用C语言编写的Fluent UDF实例，包含Adjust宏，profile宏等八个实例教程，快速上手(The UDF is for computational fluid dynamics software Fluent, it concludes the Profile.c,the Adjust.c)

可用于层次分析法比较评价，主函数输入初始矩阵，调用层次分析函数(It can be used for comparative evaluation of analytic hierarchy process. The main function input the initial matrix and call the analytic hierarchy process function.)

CHEMKIN 2 源代码，使用Fortran语言编写，需要的可以下载(CHEMKIN 2 source code, written in Fortran, need can be downloaded)

程序是庄茁大神经典的Johnson-Cook模型隐式算法 另外包括一个 ABAQUS-Standard用户材料子程序实例的文档说明(The program is a classic Johnson-Cook model implicit algorithm and it includes documentation of an ABAQUS-Standard user material subroutine example)

是ABAQUS有限元模拟软件的子程序，主要研究损伤断裂(a subroutine of ABAQUS for damage and fracture )

本代码可以用于计算特征向量或者矩阵的相似度。(This code can be used to calculate the similarity of the feature vector or matrix.)