搜索资源列表
333
- python source code for simple genetic algorithm. it is implemented on the python platform. Python source code for SGA.
tsp.py
- This is a Genetic Algorithm Implementation of TSP using Python PyEvolve Library.
ex_pyevolve0_5
- Pyevolve是一个用python实现的遗传编程框架，这些代码是Pyevolve一些示例源程序-Pyevolve is a python implementation of genetic programming with the framework, some examples of these source code is Pyevolve
GA-Python
- 基于Python写的遗传算法的应用实例。对于不太善于MATLAB,而熟悉Python的人的一个参考！-Based on genetic algorithm written in Python application examples. Not good for MATLAB, and a person familiar with Python reference!
TSP
- python语言，一个遗传算法，解决TSP问题-python language, a genetic algorithm to solve TSP problems
tic-tac-toe-python
- 基于遗传算法的井字棋不败策略搜索，找到全部独立765个状态之后的搜索-Tic Tac Toe game based on genetic algorithm search strategies unbeaten
Irisgraphy-master
- Irisgraphy is python openCV project to track color of iris,eye-ball, for genetic purpose
tsp
- 中国tsp问题带数据，使用遗传算法，python 语言编写(China TSP problem with data, using genetic algorithm, python language)
GA
- 使用python实现遗传算法的基本功能，包括变异，交叉，选择(Using Python to achieve the basic functions of genetic algorithms, including mutation, crossover, selection)
[python]tsp-master
- 遗传算法解决TSP问题，python源码，github(Solving TSP problem by genetic algorithm)
niso1-mxl653
- 基因算法的python实现，实现了简单的基因遗传算法。可用来初学者参考。(A simple genetic algorithm is realized by the python implementation of the genetic algorithm. It can be used for reference for beginners.)
Gray Img Cluster
- Python通过遗传算法计算阈值，将彩色图片以灰度图的形式导出(Python calculates thresholds through genetic algorithms.)
test.py
- 通过遗传算法解决0-1背包问题，以选择办事处为背景(solve the package problem through genetic algorithm)
yichuan
- 遗传算法 变异 交叉 迭代 最大值 寻找最优解(genetic algorithm)
GA
- 遗传算法，实现物竞天择，是进化理论的一方面。遗传算法是解决搜索问题的一种通用算法，对于各种通用问题都可以使用。搜索算法的共同特征为： ① 首先组成一组候选解 ② 依据某些适应性条件测算这些候选解的适应度 ③ 根据适应度保留某些候选解，放弃其他候选解 ④ 对保留的候选解进行某些操作，生成新的候选解。(Genetic algorithm, to realize natural selection, is one aspect of evolutionary theory.)
tsp
- 遗传算法,旅行商问题的python代码(The Python code of the genetic algorithm, the traveling salesman problem)
PSO-Python
- 粒子群算法，PSO 算法属于进化算法的一种，和模拟退火算法相似，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。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(The particle swarm optimization (PSO) al
Genetic-Algorithm-with-python-master
- 修复人缺失图像Genetic-Algorithm-with-python-master(Genetic-Algorithm-with-python-master)
robot-plan-master
- 使用python实现遗传算法实现机器人路径规划，有仿真实现路径。(Using Python to realize the genetic algorithm to realize the robot path planning, there is simulation to realize the path)
遗传算法微电网优化调度(python)
- 利用python语言，通过遗传算法对微电网进行优化调度(Genetic algorithm is used to optimize the dispatching of microgrid)