Aiming at the problems such as slow searching speed and easy to fall into local optimal solution of the tra-ditional genetic algorithm,this paper proposes an adaptive genetic algorithm based on population fitness,trigonometric func-tion and iteration adjustment strategy to inspect path planning,and designs chaotic reversal operator to make the algorithm jump out of the local optimality.The optimized paths are generated by MATLAB simulation and tested on a CMM for com-plex surfaces inspection.The results show that the optimized paths can effectively improve the inspection efficiency of com-plex surface parts.
维普
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