Volume 3 Number 1
January 2006
Article Contents
Cheng-Dong Wu, Ying Zhang, Meng-Xin Li and Yong Yue. A Rough Set GA-based Hybrid Method for Robot Path Planning. International Journal of Automation and Computing, vol. 3, no. 1, pp. 29-34, 2006 doi:  10.1007/s11633-006-0029-5
Cite as: Cheng-Dong Wu, Ying Zhang, Meng-Xin Li and Yong Yue. A Rough Set GA-based Hybrid Method for Robot Path Planning. International Journal of Automation and Computing, vol. 3, no. 1, pp. 29-34, 2006 doi:  10.1007/s11633-006-0029-5

A Rough Set GA-based Hybrid Method for Robot Path Planning

  • Received: 2005-01-15
Fund Project:

This project is partially supported by Science Research Funding from the Education Department of Liaoning Province, China (No.J9906065).

通讯作者: 陈斌, bchen63@163.com
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A Rough Set GA-based Hybrid Method for Robot Path Planning

Fund Project:

This project is partially supported by Science Research Funding from the Education Department of Liaoning Province, China (No.J9906065).

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 axe 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.

Cheng-Dong Wu, Ying Zhang, Meng-Xin Li and Yong Yue. A Rough Set GA-based Hybrid Method for Robot Path Planning. International Journal of Automation and Computing, vol. 3, no. 1, pp. 29-34, 2006 doi:  10.1007/s11633-006-0029-5
Citation: Cheng-Dong Wu, Ying Zhang, Meng-Xin Li and Yong Yue. A Rough Set GA-based Hybrid Method for Robot Path Planning. International Journal of Automation and Computing, vol. 3, no. 1, pp. 29-34, 2006 doi:  10.1007/s11633-006-0029-5
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