A hybrid genetic algorithm of path planning for AOI

In order to improve the efficiency of AOI in the process of collecting images,the location and field of image taking must be optimized.The existing methods in common are low efficient,so a new path planning method based on the hybrid genetic algorithm is proposed to optimize the path and raise the efficiency of detection.The simulation results show the effectiveness of the algorithm.Under the same conditions,the application of this method can save time,thus improves the efficiency of detection and overcomes the shortcomings of traditional methods such as image taking in order,meantime,the board for off-line path planning will not affect the time of actual on-line image taking.The path planning method based on the hybrid genetic algorithm is an effective solution to the key issues of path planning in AOI,and is of great significance for efficiency improvement in industrial production.