Volume 22 Issue 6
Nov.  2000
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LI Mei-yi, CAI Zi-xing. IMPROVED EVOLUTIONARY PPOGRAMMING AND IT’S APPLICATION ON PATH PLANNING OF ROBOTS[J]. ROBOT, 2000, 22(6): 490-494.
Citation: LI Mei-yi, CAI Zi-xing. IMPROVED EVOLUTIONARY PPOGRAMMING AND IT’S APPLICATION ON PATH PLANNING OF ROBOTS[J]. ROBOT, 2000, 22(6): 490-494.
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IMPROVED EVOLUTIONARY PPOGRAMMING AND IT’S APPLICATION ON PATH PLANNING OF ROBOTS

  • 1.

    Research Institute of Applied Mathematics and Computing Application, Xiangtan Teachers College, Hunan, 411100

  • 2.

    College of Information Eng., Central South Univ. of Tech. Hunan, 410083

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  • Received Date: October 24, 2000
  • Published Date: November 14, 2000
    Graphical Abstract
    • Abstract
  • This paper introduces, by improved mutation probability in evolutionary programming, raising speed of evolutionary computation. It has been applied in the path planning of robots, and achieves both near-optimality of paths and high planning efficiency.
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    • References (6)
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    Fogel L J. Owens A J, Walsh M J, et al. Artificial Intelligence Through Simulated Evolution. New Youk:John Wiley,1966
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    张育.移动机器人路径规划算法研究.上海交通大学硕士论文,1995
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    Khatib O. Real-time Obstacle Avoidance for Manipulators and Mobile Robots. IEEE Int Conf Robotics Automat. 1985
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    Mobamed B. Trabia. Planning Near-length Collision-free Paths for Robots. IEEE Trans Syst Man Cybern. 1993.23(5):1481-1488
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    Metea M B. Route Planning for Intelligent Autonomous Land Vehicles Using Hierarchical Terrain Representation. IEEEint Conf Rob And autom, 1987.3
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    Xiao J, Michalewisz Z, Lin H S. Evolutionary Planner/navigator:Operator Performance and Self-tuning. Proc IEEE IntConf Evolutionary Computation.Nagoya,Japan.May 1996:366-371
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