提出了基于一种改进微粒群优化算法的移动机器人在已知环境信息下的路径规划方法。
A path planning approach based on a modified particle swarm optimization (PSO) is presented for mobile robot in known static environments.
实验结果表明该改进微粒群算法可以有效地解决高维数值优化问题。
The simulation results show that the improved PSO algorithm can solve the high-dimensional numerical optimization problem effectively.
实验结果表明该改进微粒群算法可以有效地解决高维数值优化问题。
The simulation results show that the improved PSO algorithm can solve the high-dimensional numerical optimization problem effectively.
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