基于改进天牛须搜索的自导引机器人路径规划

来源 :机械设计与研究 | 被引量 : 0次 | 上传用户：discountstore

【摘要】

：

针对天牛须搜索(BAS)在自导引机器人(AGV)路径规划中存在的陷入局部最优、收敛速度较慢等问题,提出基于改进天牛须搜索(IBAS)的AGV路径规划新方法.相比于BAS,IBAS中天牛的移动步长不再是固定的,而是随着迭代进程自适应的变化,从而实现了算法搜索能力的平衡,提升了算法的寻优性能.典型测试函数优化结果表明,IBAS的寻优精度、寻优速度和稳定性更优.在AGV路径规划的实际应用中,IBAS有效提高了路径规划效果.

【作者】

：

王槐彬彭雪夏小云周诗源

【机构】

：

广东交通职业技术学院信息学院,广州 510650;广东技术师范大学数学与系统科学学院,广州 510665;嘉兴学院信息科学与工程学院,浙江嘉兴 314001

【出处】

：

机械设计与研究

【发表日期】

：

2021年5期

【关键词】

：

天牛须搜索变步长 AGV 路径规划

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基于改进天牛须搜索的自导引机器人路径规划

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