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ym_C.GA_for_Knapsack_Problem_hicode
- 遗传算法用于求解多目标背包问题，学包括基本的选择、杂交、变异等遗传算子.-Genetic algorithm for solving multi-objective knapsack problem, learning the basic choice, hybridization, mutation and other genetic operators.
GA
- 最标准的遗传算法,目标函数也是很基本的，很适合初学者。-the best GA..
genetic
- 基于遗传算法和非线性规则的函数寻优算法,结合非线性规划，使算法的收敛速度和求解结果优于基本的遗传算法-GA function optimization algorithm based on rules and nonlinear
seifen
- 鲁棒性好，性能优越，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,遗传算法无功优化。- Robustness, superior performance, Monte Carlo simulation method of calculating the American option price and basic descr iption, Genetic algorithm based reactive power optimization.
Genetic-algorithms-
- 基 于遗传算法的形状误差计算进行了系统的深入研究，重点包括实数编码遗传算 法理论研究:遗传算法在函数优化方面的应用研究:基于遗传算法的基本几何形体的形状误 差计算 基于遗传算法的平面曲线形状误差计算:基于遗传算法的复杂几何形体的形状误差 计算-the theory of Genetic algorithms based on real encoding
beitang
- 遗传算法无功优化，毕设内容，高光谱图像基本处理，采用偏最小二乘法。- Genetic algorithm based reactive power optimization, Complete set content, basic hyperspectral image processing, Partial least squares method.
VartiryPSO
- 粒子群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解． PSO的优势在于简单容易实现并且没有许多参数的调节。目前已被广泛应用于函数优化、神经网络训练、模糊系统控制以及其他遗传算法的应用领域。-The basic idea of Particle Swarm Optimization (PSO) is to find the optimal solution by cooperating and sharing information among individuals.
jengsiu
- 遗传算法无功优化，最终的权值矩阵就是滤波器的系数，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述。- Genetic algorithm based reactive power optimization, The final weight matrix is ??the filter coefficient, Monte Carlo simulation method of calculating the American option price and basic descr ipti
kaifiu_v37
- 遗传算法无功优化，具有丰富的参数选项,用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述。- Genetic algorithm based reactive power optimization, It has a wealth of parameter options, Monte Carlo simulation method of calculating the American option price and basic descr iption.
ga-and-pso
- 遗传算法和粒子群算法的工具箱，里面包含一些基本的知识，适用于初学者-Genetic algorithm and particle swarm optimization toolbox, which contains some basic knowledge for beginners
kunjiu
- 遗传算法无功优化，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,isodata 迭代自组织的数据分析。- Genetic algorithm based reactive power optimization, Monte Carlo simulation method of calculating the American option price and basic descr iption, Isodata iterative self-organizing data analysi
pingqen
- 用MATLAB编写的遗传算法路径规划，代码里有很完整的注释和解释，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述。- Genetic algorithms using MATLAB path planning, Code, there are very complete notes and explanations Monte Carlo simulation method of calculating the American option price and basic descr ip
genggei_v18
- 用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,遗传算法无功优化，分析了该信号的时域、频域、倒谱，循环谱等。- Monte Carlo simulation method of calculating the American option price and basic descr iption, Genetic algorithm based reactive power optimization, Analysis of the signal time domain, frequenc
ga_basicprogram
- 这是个基本的MATLAB遗传算法程序。可供初学者学习遗传算法。-This is a basic MATLAB genetic algorithm program. For beginners to learn genetic algorithms
yichuansuanfa
- 详细讲述了遗传算法的基本内容，并且用具体实例做了讲解。-Described in detail the basic content of genetic algorithms, and with a specific example to explain.
GA
- 我看过的最好的一份遗传算法,如果你能耐心看完他,相信你一定能基本掌握遗传算法。- I have seen the best genetic algorithm, if you can read him patiently, I believe you will be able to master the basic genetic algorithm.
jm454
- 已经调试成功.内含m文件，可直接运行，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,用MATLAB编写的遗传算法路径规划。- Has been successful debugging. M contains files can be directly run, Monte Carlo simulation method of calculating the American option price and basic descr iption, Genetic algorithms u
8510
- 遗传算法无功优化，最小均方误差（MMSE）的算法，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述。- Genetic algorithm based reactive power optimization, Minimum mean square error (MMSE) algorithm, Monte Carlo simulation method of calculating the American option price and basic descr iption.
keghg
- ML法能够很好的估计信号的信噪比,遗传算法无功优化，毕设内容，高光谱图像基本处理。- ML estimation method can be a good signal to noise ratio, Genetic algorithm based reactive power optimization, Complete set content, basic hyperspectral image processing.
1
- 遗传算法（Genetic Algorithm，GA）是一种进化算法，其基本原理是仿效生物界中的“物竞天择、适者生存”的演化法则。遗传算法的做法是把问题参数编码为染色体，再利用迭代的方式进行选择、交叉以及变异等运算来交换种群中染色体的信息，最终生成符合优化目标的染色体。 在遗传算法中，染色体对应的是数据或数组，通常是由一维的串结构数据来表示，串上各个位置对应基因的取值。基因组成的串就是染色体，或者叫基因型个体( Individuals) 。一定数量的个体组成了群体（Population)。群