群智能算法在路径规划中的研究及应用

在移动机器人控制系统中，路径规划技术占据了重要地位，因为它决定了机器人在运动避障过程中的高效性和准确性。于是与路径规划有关的算法渐渐成为了学者专家们研究的热点。随着科学技术的不断成熟以及应用领域的不断拓展，面临的将是更加复杂多变的运动环境，因此群智能算法的出现给未来创造了更多的可能性。以蚁群算法、人工蜂群算法、人工鱼群算法、入侵杂草算法为主线，分别介绍了它们的理论分析和应用，然后针对各自的缺陷进行了相应的改进，并分析了改进后的算法在鲁棒性、稳定性、求解精度等方面的优化效果。

Research and application of swarm intelligence algorithm in path planning

In a mobile robot control system , path planning technology occupies the important position , because it determines the robot in the movement the efficiency and accuracy in the process of obstacle avoidance .And associated with the path planning algorithm is gradually become the focus of research scholar experts .With matures and application in the field of science and technology development , we will be facing more complex and changeable movement environment ,so the emergence of swarm intelligence algorithm creates more possibilities for the future . Based on the ant colony algorithm ,artificial ,artificial fish swarm algorithm algorithm ,invasive weeds as the main line , introduces the theoretical analysis and application of them respectively ,and then the corresponding improvement ,for their respective deficiencies in the improved algorithm is analyzed and the robustness , stability and precision of optimization results .