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基于改进粒子群优化算法的三维空间路径规划 被引量:5

PATH PLANNING IN 3-D SPACE BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION
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摘要 将改进粒子群优化算法应用于三维空间路径规划。首先给出三维空间建模方法,其次通过在迭代过程中对算法惯性系数w分段设置和对粒子位置进行随机扰动的方式,来改进粒子群优化算法,然后给出了基于改进粒子群优化算法的三维空间路径规划的算法流程。仿真结果表明,改进方式能有效提高粒子群优化算法应用于三维空间路径规划的计算效率和可靠性。 In this paper the improved particle swarm optimization was applied to path planning in 3-D space.Firstly,the modelling method in 3-D space was presented,secondly,the particle swarm optimization was improved by means in iterative process to set up the inertia coefficient w in subsection and to disturb particle' s position randomly,and then the algorithm flow of path planning in 3-D space based on improved PSO was presented.Simulation results proved that the improved means could meliorate the computational efficiency and the reliability of PSO used in path planning in 3-D space.
出处 《计算机应用与软件》 CSCD 2010年第11期262-264,290,共4页 Computer Applications and Software
关键词 三维空间 路径规划 粒子群 3-D space Path planning Particle swarm
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