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xiaoshengjing
- 本文在阅读大量遗传算法小生境技术资料基础上，介绍了遗传算法的特点、物种形成和小生境技术，详细陈述上世纪80年代以来的各种小生境实现方法，包括共享函数法、确定性排挤法、可变半径的聚类算法和隔离小生境方法等；最后对小生境遗传算法的工程应用提出了展望。 -In this paper, a lot of reading technical information niching genetic algorithm based on the characteristics of genetic alg
genetic-algorithm
- 这是一个比较基础的遗传算法源代码，可以在此基础上根据个人的实际需要进行改动，希望有用！-This is a simple original code of genetic algorithm，you can adjust it according to your need。May it s helpful to you！！
C
- 主要介绍线性结构,树型结构,图状结构三种逻辑结构元素的存储实现,在此基础上介绍一些典型算法及时,空效率分析.-Introduces the linear structure, tree structure, graph-like structure of three elements of the logical structure of the storage to achieve, on this basis are some typical algorithms in time, spac
FFT
- 实现快速傅立叶变换的C程序代码，以基2FFT为基础的算法-Implementation of fast Fourier transform C program code, to base 2FFT based algorithm
178_c
- 178个经典C语言源码，学习的经典。包含经典算法100例等诸多学习资料，适合初学者，菜鸟一定要学的最基础知识-178 classic C language source code, learning classic. Contains 100 cases of classic algorithms, and many other learning materials, suitable for beginners, the rookie we must learn the most basic
yiqunjulei
- 改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子，产生变异，从而更快的收敛-Improved ant colony algorithm is based on improved genetic algorithm, based on the basic genetic algorithm, adding the variability factor, mutation, and thus faster convergence
zuobiaozhuanhuan--MATLAB
- 基于matlab的大地测量基础的坐标转换，涉及算法和基础大地测量过程-Matlab-based geodetic coordinates of the base conversion, involving algorithms and basic geodetic process
basic-simulated-annealing
- 基本的模拟退火算法程序，适合各类型在此基础上做相关改进。-The basic simulated annealing algorithm procedures, suitable for all types on this basis to make related improvements.
m-particle-swarm-optimization
- 多目标粒子群算法，在基本粒子群算法的基础上进行了改进，程序简单明了。-Multi-objective particle swarm algorithm based on particle swarm algorithm has been improved, the program is simple and straightforward.
cPP
- c++基础功能展示 从基础学起 功能关于c++的数学算法问题的源代码！- C++ basic function display From the basics Function on the mathematical algorithm c++ source code!
3
- 目前的多目标优化算法有很多，Kalyanmoy Deb 的 NSGA-II（Nondominated Sorting Genetic Algorithm II，带精英策略的快速非支配排序遗传算法）无疑是其中应用最为广泛也是最为成功的一种。MATLAB 自带的 gamultiobj 函数所采用的算法，就是基于 NSGA-II 改进的一种多目标优化算法（a variant of NSGA-II）。gamultiobj 函数的出现，为在 MATLAB 平台下解决多目标优化问题提供了良好的途径。gamu
Fibonacci
- 运行一个斐波那契序列,，得到基础的函数，是一个c语言初学的不错算法(Run a Fibonacci sequence, function based, is a good algorithm for C language beginners.)
二维粒子群算法的matlab源程序
- 基于基础的粒子群算法，实现粒子群算法的二维求解。(The realization of two-dimensional particle swarm algorithm.)
遗传算法多目标优化
- 这是遗传算法多目标优化程序。虽然是基础的GA算法程序，但是注释清晰，可以修改目标函数运行，也可以在此基础上进行算法优化(This is a multi-objective optimization program of genetic algorithm. Although it is the basic GA algorithm program, but the annotation is clear, it can modify the operation of the objective