搜索资源列表
SGA
- 基本遗传算法代码实现，选择交叉变异 对于初学遗传算法的同志很有帮助，希望大家一起提高进步-Code to achieve the basic genetic algorithm, select the crossover and mutation genetic algorithm for beginners comrades helpful, hope all of us to improve progress
tsp
- 该程序解决10个城市的货郎担问题（TSP），主要使用简单的遗传算法实现。该过程中包括：编码、解码，选择，交叉，变异等！-The program to solve the traveling salesman problem of 10 cities (TSP), the use of simple genetic algorithm. The process includes: encoding, decoding, selection, crossover and mutation!
SGA_C
- 基本遗传算法的实现，包括简单的交叉，变异操作-Basic genetic algorithm, including the simple crossover and mutation operators
GA-1
- 遗传算法求解函数极值问题。完整实现了遗传算法的选择/交叉/变异等功能，可设定交叉和变异概率。C++语言，输出为文件形式-Genetic Algorithm for function extremum problem. Full realization of the genetic algorithm selection/crossover/mutation and other functions, can be set crossover and mutation probability. C+
geneticalgorithm
- 典型遗传算法的具体实现过程，包括 选择算子 交叉算子 变异算子的 选择方法-Concrete realization of a typical genetic algorithm process, including selection operator crossover mutation operator selection method
code
- 注意代码 的设计是求最大值，其中的目标函数只能取正值；且函数值和个体的适应值之间没有区别。该系统使用比率选择、精华模型、单点杂交和均匀变异。如果用 Gaussian变异替换均匀变异，可能得到更好的效果。-Note that the code is designed to seek maximum value, in which the objective function can only take positive and the function value and the individ
TSP
- 遗传算法，可以实现遗传算法TSP优化，图形显示优化过程。可以设定遗传种群个数、变异率等参数。-Genetic algorithm, genetic algorithm can achieve TSP optimization, graphics optimization process. Can set the number of genetic populations, mutation rates and other parameters.
IGA
- 为改进遗传算法的源程序，采用了多次2-opt变异算子，进一步改进了计算结果。-The source code for the improved genetic algorithm using a number of 2-opt mutation operator to further improve the results.
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
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