Comparison of GA, ACO algorithm, and PSO algorithm for path optimization on free-form surfaces using coordinate measuring machines

Abstract Coordinate measuring machines (CMMs) play an important role in modern manufacturing and inspection technologies. However, the process of a CMM is recognized as time-consuming work. The low efficiency coordinate has given rise to new strategies methods, including path optimization. This study describes optimization on free-form surfaces using three different algorithms: ant colony algorithm, genetic particle swarm algorithm. optimized sequence sampling points obtained MATLAB R2020b software tested Leitz Reference HP Bridge Type Measuring Machine produced by HEXAGON. compares performance algorithms theoretical practical conditions. results demonstrate that use can result collision-free being found automatically reduce time. owing methodologies, processes times algorithms, well paths, are different. indicate algorithm better for surfaces.