Application of Adaptive Genetic Algorithm in flexible inspection path planning

In view of the characteristics of flexible inspection and its specific requirements, a new adaptive multi-object genetic algorithm (AMOGA) was proposed and successfully applied to the flexible inspection path planning. The encoding mechanism, crossover operator and mutation operator was designed in this algorithm according to the problem of the shortest path planning, meanwhile, the on-line adaptive adjustment strategy of crossover probability and mutation probability was used to compensate for the traditional algorithmpsilas limitations, which improved the search speed and search quality in genetic algorithm. Finally, we had experimented on the SSCK-U6035 5-axis CNC machine tools in Shenyang Machine Tool Co., LTD., and the inspection of Roller Bits Palm adopted AMOGA can get higher measurement accuracy. Moreover, the on-line inspection system was developed based on OpenGL platform according to user needs, the effective inspection track was generated and the number of inspection points was obviously dropped, which can improve the inspection efficiency.