| Rough Set GA-based Hybrid Method for Robot Path Planning |
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| 引用本文： | Cheng-Dong Wu Ying Zhang Meng-Xin Li Yong Yue. Rough Set GA-based Hybrid Method for Robot Path Planning[J]. 国际自动化与计算杂志, 2006, 3(1): 29-34 |
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| 作者姓名： | Cheng-Dong Wu Ying Zhang Meng-Xin Li Yong Yue |
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| 作者单位： | [1]Shenyang Jianzhu University, Shenyang 110168, PRC [2]University of Luton, Luton LU1 3JU, UK |
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| 基金项目： | This project is partially supported by Science Research Funding from the Education Department of Liaoning Province, China （No.J9906065）. |
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| 摘 要： | ![]()
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| 关 键 词： | 机器人 路径规划 遗传算法 粗糙集 |
| 收稿时间： | 2005-02-15 |
| 修稿时间： | 2005-09-30 |
Rough Set GA-based Hybrid Method for Robot Path Planning |
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| Cheng-Dong;Wu;Ying;Zhang;Meng-Xin;Li;Yong;Yue. Rough Set GA-based Hybrid Method for Robot Path Planning[J]. International Journal of Automation and computing, 2006, 3(1): 29-34 |
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| Authors: | Cheng-Dong Wu Ying Zhang Meng-Xin Li Yong Yue |
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| Abstract: | ![]()
In this paper, a hybrid method based on rough sets and genetic algorithms, is proposed to improve the speed of robot path planning. Decision rules are obtained using rough set theory. A series of available paths are produced by training obtained minimal decision rules. Path populations are optimised by using genetic algorithms until the best path is obtained. Experiment results show that this hybrid method is capable of improving robot path planning speed. |
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| Keywords: | Rough sets genetic algorithms robot path planning. |
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