基于粒子群免疫优化算法的足球机器人路径规划
Soccer Robot Path Planning Based on Particle Swarm Immune Optimization Algorithm
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摘要: 为提高PSO算法的性能, 引入免疫算法中浓度调节机制的“抗体浓度选择”策略形成粒子群免疫算法, 利用该算法对足球机器人进行路径规划, 使足球机器人从给定点到目标点可以有效地躲避障碍物并且得到一条最短路径。实验结果表明, 该算法具有高效的全局搜索能力和良好的收敛稳定性。Abstract: Combined with the concentration regulation of immune algorithm based on PSO algorithm, this paper introduces "concentration of antibody selection"strategy and proposes an immune algorithm based on PSO approach so as to improve optimization performance of PSO algorithm. It is used in soccer robot path planning and making a robot from its starting point to its target point and it can effectively avoid obstacle and get the shortest path. The experiment result shows that the algorithm has efficient global searth capability and good convergence stability.
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