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Lunar Rover Path Planning Based on Comprehensive Genetic Algorithm Based on Slip Prediction

机译:基于综合遗传算法的滑动预测的月球流动路径规划

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Aiming at the problem that the lunar rover path planning algorithm generally has slow convergence rate, falls into local optimal solution, neglects the mutual applicability of environment modeling technology and path planning algorithm, a comprehensive genetic algorithm based on virtual three-dimensional model is proposed. By setting the genetic factor unchanged, the terrain comprehensive cost function is added to set the fitness function. Using genetic algorithm and improved comprehensive genetic algorithm, after 100 simulation experiments, the improved comprehensive genetic algorithm has good search performance, fast convergence and high stability. The key words of this paper are as follows: path planning, terrain comprehensive cost function, genetic algorithm.
机译:针对月球流动路径规划算法通常具有缓慢的收敛速率,落入局部最佳解决方案,忽略了环境建模技术和路径规划算法的相互适用性,提出了一种基于虚拟三维模型的综合遗传算法。通过将遗传因子保持不变,添加了地形综合成本函数来设置健身功能。使用遗传算法和改进的综合遗传算法,100次仿真实验后,改进的综合遗传算法具有良好的搜索性能,快速收敛性和高稳定性。本文的关键词如下:路径规划,地形综合成本函数,遗传算法。

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