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基于路径优化混合算法的自动化物流控制系统研究
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湖南省教育厅科学研究一般项目(17C1112)


Research on automatic logistics control system based on path optimization hybrid algorithm
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    摘要:

    为了提高自动化物流控制系统的效率,提出了基于路径优化的混合算法实现路径规划方法。在模型设计中,将仓库货柜设计适用于自动引导车无障碍行驶的矩阵排列,按照货柜编号与货柜物理位置进行建模,在自动引导车的路径规划设计中,将模糊算法与启发式算法相结合来完成目标函数求解。实验证明:相比于蚁群算法和模拟退火算法,本文算法在最优解求解和收敛性方面优势明显,在路径优化方面具有较强适用性。

    Abstract:

    In order to improve the efficiency of automated logistics control system, a hybrid algorithm was used to realize path planning based on path optimization. In the model design, the warehouse container had been designed to the matrix arrangement for the obstaclefree driving of the automatic guided vehicle. The model was built according to the number of the container and the physical location of the container. In the path planning design of the automatic guided vehicle, the objective function was solved by combining the fuzzy algorithm with the heuristic algorithm. Experiments showed that, compared with ant colony algorithm and simulated annealing algorithm, this algorithm had obvious advantages in solving the optimal solution and convergence, and had strong applicability in path optimization.

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周香,彭访,张冬兰.基于路径优化混合算法的自动化物流控制系统研究[J].机床与液压,2019,47(24):112-117.
. Research on automatic logistics control system based on path optimization hybrid algorithm[J]. Machine Tool & Hydraulics,2019,47(24):112-117

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  • 在线发布日期: 2020-03-12
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