Robot path planning using genetic algorithms

被引:1
作者
朴松昊
洪炳熔
机构
关键词
path planning; soccer robot; genetic algorithms;
D O I
暂无
中图分类号
TP242.6 [智能机器人];
学科分类号
081104 ;
摘要
Presents a strategy for soccer robot path planning using genetic algorithms for which, real number coding method is used, to overcome the defects of binary coding method, and the double crossover operation adopted, to avoid the common defect of early convergence and converge faster than the standard genetic algorithms concludes from simulation results that the method is effective for robot path planning.
引用
收藏
页码:215 / 217
页数:3
相关论文
共 4 条
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  • [2] An Evolutionary Optimal Obstacle Avoidance Method For Mobile Robotics. HASHEM M,KEIGO Watanabe,KIYOTAKA Izumi. Oita Japan:[s n] . 1999
  • [3] Adaptation in natural and artificial systems. HOLLAND J H. . 1975
  • [4] Evaluation of crossover techniques in genetic algorithm based optimum structural design. OGUZHAN Hasancebi. Computers and Structures . 2000