| 基于遗传模拟退火算法的机器人全局路径规划 |
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| 引用本文： | 孙秀云.基于遗传模拟退火算法的机器人全局路径规划[J].机械工程与自动化,2007(4):104-106. |
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| 作者姓名： | 孙秀云 |
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| 作者单位： | 德州学院,山东,德州,253015 |
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| 摘 要： | 研究了机器人在已知环境下用遗传模拟退火算法进行最优路径搜索的方法，此算法兼备了遗传算法和模拟退火算法的优点，还对路径的转折节点处进行了光滑性的改进，并且通过仿真实验证明了此方法能够快速得到最优路径。
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| 关 键 词： | 路径规划 遗传模拟退火算法 路径平滑 |
| 文章编号： | 1672-6413（2007）04-0104-03 |
| 修稿时间： | 2007-03-28 |
Path Planning Method for Robot Based on Genetic Simulated Annealing Algorithm |
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| SUN Xiu-yun.Path Planning Method for Robot Based on Genetic Simulated Annealing Algorithm[J].Mechanical Engineering & Automation,2007(4):104-106. |
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| Authors: | SUN Xiu-yun |
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| Affiliation: | Dezhou University,Dezhou 253015,China |
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| Abstract: | The genetic simulated annealing algorithm of searching the best path for the robot in the known environment is worked out in the paper. The method has both advantages of genetic algorithm and simulated annealing algorithm. It also smoothes the path at the corners. Besides,the simulation proves the method can search the optimization path. |
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| Keywords: | path planning genetic simulated annealing algorithm path smoothening |
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