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Robot path planning using genetic algorithms 被引量:1

Robot path planning using genetic algorithms
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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. 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.
出处 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2001年第3期215-217,共3页 哈尔滨工业大学学报(英文版)
关键词 path planning soccer robot genetic algorithms path planning soccer robot genetic algorithms
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参考文献4

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  • 2HASHEM M,KEIGO Watanabe,KIYOTAKA Izumi.An Evolutionary Optimal Obstacle Avoidance Method For Mobile Robotics[].Oita Japan:.1999
  • 3HWANG Y,AHUJA N.Gross motion planning-a survey[].ACM Computing Surveys.1992
  • 4OGUZHAN Hasancebi.Evaluation of crossover techniques in genetic algorithm based optimum structural design[].Computers and Structures.2000

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