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基于CUDA的GPU加速通用遗传算法实现，实验平台为Nvidia Jetson Nano

License: Apache License 2.0

C++ 73.20% Cuda 25.33% CMake 1.47%

general-parallel-genetic-algorithm-on-gpu's Introduction

基于CUDA的GPU加速通用遗传算法实现

介绍

基于CUDA的GPU加速通用遗传算法实现，实验平台为Nvidia Jetson Nano

文件构成

  • data 测试数据
  • src
    • error.cuh：CUDA API错误诊断使用的宏定义头文件，用于诊断CUDA API的返回错误，显示错误发生的具体文件和行数，便于调试。
    • GeneticAlgorithm.hpp：遗传算法通用类模板和函数模板的头文件，包含了所有实际应用场景的遗传算法的通用特性
    • GA1.cu ：实例1 求使目标函数最优值的参数值
    • GA2.cu ：实例2 学习感知机模型根据身高体重预测性别
  • puzzle_problem 解决拼图重构问题的GPU_ANT_ALGORITHM算法
    • cpp CUDA C++版本
    • python python版本

环境

  • 操作系统：Ubuntu18.04LTS
  • 软件工具：cuda-toolkits 10.2

使用说明

以实例1为例

编译

$ nvcc -o GA -g -G GA1.cu

运行

$ ./GA1

调试

$ cuda-gdb ./GA1
$ run

general-parallel-genetic-algorithm-on-gpu's People

Contributors

winsleo avatar

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