| 基于遗传模拟退火算法的机器人路径规划 |
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| 引用本文： | 周明,孙树栋,彭炎午.基于遗传模拟退火算法的机器人路径规划[J].航空学报,1998,19(1):118-120. |
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| 作者姓名： | 周明 孙树栋 彭炎午 |
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| 作者单位： | 西北工业大学制造工程系,西安,710072 |
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| 基金项目： | 国家教委优秀年轻教师基金 |
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| 摘 要： | 探讨了利用遗传算法来进行机器人路径规划的方法，分析了可能产生的问题及其产生原因，并在此基础上提出利用遗传算法与模拟退火算法相结合的方法来解决机器人路径规划问题。仿真结果表明，这种遗传模拟退火算法切实可行，它能够有效地提高路径规划的计算速度和保证路径规划的质量。
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| 关 键 词： | 路径规划 机器人学 遗传算法 模拟退火 |
PATH PLANNING OF MOBILE ROBOT VIA GENETIC SIMULATED ANNEALING APPROACH |
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| Zhou Ming,Sun Shudong,Peng Yanwu.PATH PLANNING OF MOBILE ROBOT VIA GENETIC SIMULATED ANNEALING APPROACH[J].Acta Aeronautica et Astronautica Sinica,1998,19(1):118-120. |
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| Authors: | Zhou Ming Sun Shudong Peng Yanwu |
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| Institution: | Department of Manufacturing Engineering, Northwestern Polytechnical University, Xi′an, 710072 |
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| Abstract: | Path planning method of mobile robot by means of genetic algorithm has been discussed. On the basis of analyzing the disadvantages and their cause of genetic algorithm approach, a new path planning method has been proposed, which is a hybrid of genetic algorithms and simulated annealing. The results of simulation show that this method, which is called genetic simulated annealing approach, is feasible and efficient for improving the computing performance and path quality of path planning for mobile robot. |
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| Keywords: | path planning robotics genetic algorithms simulated annealing |
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