搜索资源列表
b
- 一种求解Job-Shop调度问题的 混合自适应变异粒子群算法 -Solving Job-Shop scheduling problem by hybrid particle swarm optimization with adaptive mutation
cross
- 遗传算法分程序 选择交叉变异源程序 谢谢大家-GA selection crossover mutation
GA
- 遗传算法 0-1背包问题的代码 初始群体 选择 交叉 变异 评估函-0-1 knapsack problem genetic algorithm code for the initial assessment of functional group selection crossover and mutation
HDT
- 寻求降水、气温等相关数据资料的时间序列的突变点-For precipitation, temperature and other related time series data point mutation
GAOBO
- 高波病毒变种的源代码程序，可以用作网络安全编程的参考学习资料-High waves mutation of the virus source code program, network security program can be used as learning materials reference
GAsuanfa
- 此程序通过遗传算法(GA)实现灰度图像的分割,遗传算法的计算过程首先是将实际的优化问题编码成符合串,也称码串、染色体。将实际问题的目标函数转变为染色体的适应函数,然后在随机产生的一批初始染色体的基础上,根据各染色体的适应函数值进行繁殖、交叉、变异等遗传操作产生下一代染色体。 -This procedure of genetic algorithm (GA) to achieve gray scale image segmentation, genetic process of the algor
traveling_salesman
- 遗传算法 旅行商路径优化 编码选择交叉变异解码-Genetic algorithm optimization of traveling salesman path selection crossover and mutation encoding decoding
Genetic-Algorithms
- 这是一个简单的ＧＡ源代码，该系统使用比率选择、精华模型、单点交叉和均与变异-This is a simple GA source code, the system uses the rate selection, the essence of model, and both single-point crossover and mutation
GA
- 这是一个简单遗传算法，包括初始化群体、选择、交叉、变异，结果可以输出到文本文档-This is a simple genetic algorithm, including the initialization population, selection, crossover and mutation, the results can be exported to a text document
GA_test
- 遗传算法：二进制、单点交叉、单点变异、轮盘赌、模拟退火(默认无)、最优个体保留(默认无)-Genetic algorithm: binary, single-point crossover, single-point mutation, roulette, simulated annealing (default no), best individual reservations (default no)
ACOKP1227
- 加入贪婪策略和遗传算法中的变异策略的混合蚁群算法-Join the greedy strategy and mutation strategy of ant colony algorithm
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
genetic_operator
- It s genetic operator (crossover and mutation) for discrete optimization
ga
- 使用“旋轮法正比选择”、“单切点交叉”和单点突变的遗传算法-Use " proportional to select the roller method," " single-cut point crossover" and the single point mutation in the genetic algorithm
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
ss
- 遗传算法解决背包问题，其中包括算法编码初始化，交叉，变异和惩罚策略，很好的解决了背包问题-Genetic algorithm to solve knapsack problem, including the coding algorithm initialization, crossover, mutation and punishment strategy, a good solution to the knapsack problem
Genetic
- 用遗传算法解决旅行商问题，种群规模为2000，变异方法是将第二位上的基因放到第一位之前，适应函数为1除以路径长度8次方 ，算法迭代125次。 -Solve the using genetic algorithms, population size is 2000, the second mutation is the gene into the first before the fitness function as a path length divided by the 8
ga
- 包括遗传算法的各种运算（交叉，变异）的实例源程序代码-Various operations, including genetic algorithms (crossover and mutation) of the instance of the source code
SGAPublic
- 本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值啦） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉； 单点变异，浮点变异；-The SGA can optimize the variables, find minimum, maximum (when the function is also seeking the minimum reciprocal friends) and support for floating-
ModelGenerationforanIntrusionDetection
- 记载每一代的进化过程中保留多个最优个体不参加交叉，变异等遗传运算，而直接将他们复制到下一代群体中。-Documented the evolution of each generation to keep more than the best individual does not participate in crossover and mutation genetic operators, and direct them to the next generation of copy group