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A rough set GA-based hybrid method for robot path planning

  • Cheng-Dong WuEmail author
  • Ying Zhang
  • Meng-Xin Li
  • Yong Yue
Article

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.

Keywords

Rough sets genetic algorithms robot path planning 

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Copyright information

© Institute of Automation, Chinese Academy of Sciences 2006

Authors and Affiliations

  • Cheng-Dong Wu
    • 1
    Email author
  • Ying Zhang
    • 1
  • Meng-Xin Li
    • 1
  • Yong Yue
    • 2
  1. 1.Shenyang Jianzhu UniversityShenyangPRC
  2. 2.University of LutonLutonUK

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