SUMMARYAiming at planning the welding path of complex ship components, a welding path planning optimization model was constructed with the shortest welding path and using the target and the welding process and welding starting and ending points as constraints. Based on the model, an improved ant colony algorithm with dynamic adaptive parameters was proposed to complete the path planning work. Simulation results showed that, compared with other classical optimization algorithms, the proposed algorithm improved optimization speed while ensuring optimization effect and achieving better results in path planning of complex ship components.

中文翻译：

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复杂船舶零部件焊接路径自主智能规划方法

摘要针对复杂船舶部件的焊接路径规划，以目标、焊接工艺、焊接起点和终点为约束条件，构建最短焊接路径的焊接路径规划优化模型。在该模型的基础上，提出了一种改进的具有动态自适应参数的蚁群算法来完成路径规划工作。仿真结果表明，与其他经典优化算法相比，该算法在保证优化效果的同时提高了优化速度，在复杂船舶部件的路径规划中取得了较好的效果。