• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊
论文

Research on the Path Planning Methods for Mobile Robots Based on an Improved Genetic Algorithm

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  • (1.School of Mechanical Engineering,Shenyang Ligong University,Shenyang 110168;
    2.School of Information Science and Technology,Shenyang Ligong University,Shenyang 110168,China)

Received date: 2009-03-10

  Revised date: 2009-06-19

  Online published: 2010-06-25

Abstract

Path planning is the kernel problem of the robot technology area.The paper presents a solution to the path planning problem of robots based on the genetic algorithm.In the design of genetic operators,a self adaptation method is also used to make the algorithm more perfect.Therefore,it solves the problem of being not able to reach the target because of being trapped in the local minimum.Finally,path planning is simulated at a simulated environment.It is proved that the algorithm is valid.

Cite this article

HAO Bo1,QIN Lijuan2,JIANG Mingyang2 . Research on the Path Planning Methods for Mobile Robots Based on an Improved Genetic Algorithm[J]. Computer Engineering & Science, 2010 , 32(7) : 104 -107 . DOI: 10.3969/j.issn.1007130X.2010.

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