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改进的遗传算法
- vb写的改进的遗传算法程序。是一些通用代码，与具体问题对应的代码空出来，用的时候填进去。根据我的经验，要想用好遗传算法，代码必须自己写，因为问题不同，编码，杂交，变异算子可能都不一样。特别是杂交算子，需要根据问题调整，甚至创造出新的杂交方法。而且适应度计算的代码也需要自己写，特别是带约束的优化问题 -vb write improvement in the genetic algorithm. Some common code, with the specific issues the corre
matlab遗传算法程序(new)
- 遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，一些简单的MABTLAB遗传算法例子！-GA MATLB procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples MABTLAB GA!
ga198212013
- 一种新型的突变算子及其应用_智能控制国际会议.pdf-a new mutation operator and its application _ International Conference on Intelligent Control. Pdf
winmtr_src
- About WinMTR: WinMTR is a windows clone of popular Matt s traceroute Linux program. Original mtr can be found at http://www.bitwizard.nl/mtr/ Installation: Binary: Unzip winmtr_bin.zip. You will have in unzip directory two files:
SGALABbugfix
- 多目标遗传算法程序 to run Demo files, is to run SGALAB_demo_*.m what s new: 1) Multiple-Objective GAs VEGA NSGA NPGA MOGA 2) More TSP mutation and Crossover methods PMX OX CX EAX Boolmatrix 3) More selection methods
AGA
- 介绍一种改进传统遗传算法的新方法，通过调节交叉概率和变异概率-Introduction of a new genetic algorithm to improve the traditional method, by adjusting the crossover probability and mutation probability
tuxiangfenge
- 基于改进遗传算法的图像分割，算法中引入了优生算子、改进的变异算子和新个体,避免了局部早熟,提高了收敛速度和全局收敛能力。 -Based on improved genetic algorithm for image segmentation algorithm is introduced eugenics operator, the improved mutation operator and new individual, to avoid premature local, to improv
NSGA-IIMATLAB
- NSGA-II 效果很好 很多人里面的交叉变异都有误解 对刚接触多目标的人很有用处-NSGA-II works well inside the crossover and mutation, many people have a misunderstanding of the goals of people new to many useful
SJ
- UbW 遗传算法是近几年发展起来的一种崭新的全局优化算法， 针对 问题，编码规则通常是取 进制编码 ，即每个基 0IE B 它借用了生物遗传学的观点，通过自然选择、遗传和变异等作 因仅从 到 的整数里面取一个值，每个个体的长度为 ，为 -UbW genetic algorithm is developed in recent years, a new global optimization algorithm, solve the probl
segmentation
- 遗传算法在道路图像阈值分割中的应用 包括：初始化种群，产生新一代个体，精英选择，交叉，变异-Genetic algorithm in the road image threshold segmentation include: initial population, a new generation of individual, elite selection, crossover and mutation
matlabyichuan(new)
- 基于matlab的遗传算法，包括交叉、变异等！-Matlab genetic algorithm-based, including crossover, mutation, etc.!
adaptive-genetic-algorithm
- 自适应GA SVM 参数选择算法研究Param eter selection algorithm for support vector machines based on adaptive genetic algorithm 支持向量机是一种非常有前景的学习机器, 它的回归算法已经成功地用于解决非线性函数的逼近问题. 但 是, SVM 参数的选择大多数是凭经验选取, 这种方法依赖于使用者的水平, 这样不仅不能获得最佳的函数逼近效果, 而且采用人工的方法选择 SVM 参数比较浪费
modified_tsp
- i m trying to modified Joseph Kirk work on TSP GA here but failed miserably. Trying to modify the operators from using mutation to crossover. Then try to implement it using the map toolbox and input city coordinates, but also fail. Help me please
rectangle-plane-antenna-array
- 运用遗传算法对不等幅不等距矩型平面阵列的最大相对旁瓣电平进行了优化 , 通过提出新的 自适应 变异算子改进了算法的收敛性能 , 良好的计算结果表明遗传算法是 目前求解此类问题的有效方法-Genetic algorithms applied to unequal amplitude equidistant rectangular planar array, the maximum relative sidelobe level is optimized by presenting a
Differential-evolution-algorithm
- 微分进化(DE)是比较新的基于群体的随机优化，它的变异算子是由种群中任意选取的多对向量的差值得到的-Differential Evolution (DE) is a relatively new groups based stochastic optimization, its mutation operator arbitrarily selected from the population of the vector difference
yihcuansuanfa
- 采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,并引入了倒位操作的遗传算法新程序-Roulette method of nonlinear ranking selection, uniform crossover and mutation operations, and the introduction of a new procedure of the genetic algorithm inversion operation
New-Folder
- 实现遗传算法的基本历程，可以自由修改变异概率，交叉概率，迭代次数等-Basic Course genetic algorithm, can be freely modified mutation probability, crossover probability, the number of iterations
Opposition-based-Stud-Genet
- 为进一步提高螺栓遗传算法的优化效率，加速寻优过程，提出基于对立策略的螺栓遗传算法。该算法在种群初始化阶段和变异阶段均用对立取代随机方式，提高产生解的质量。利用测试函数对算法的效率进行检验，将其与差分算法、遗传算法、粒子群算法和螺栓遗传算法进行对比，结果表明，新算法具有更快的收敛速度和更高的求解精度。-In order to improve the performance of Stud Genetic Algorithm(SGA) and accelerate the convergence s
pso
- 粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现
(new)
- 遗传算法MATLB程序，里面有遗传算法的选择、交叉、变异函数，一些简单的MABTLAB遗传算法例子！-MATLB genetic algorithm procedures, there are genetic algorithm selection, crossover and mutation function, some simple examples MABTLAB GA!