A computational intelligence based optimization method for aircraft component assembly sequence
Aiming at the current problems of low efficiency and poor performance of large component assembly planning under the condition of limited assembly resources,an assembly sequence planning model based on discrete fireworks algorithm is proposed.As-sembly parts,assembly resources and hybrid interference matrices are established to describe the assembly interference problem in dif-ferent cases.In order to speed up the solving speed of the feasible solution,a strategy including the explosion amplitude,the number of sparks generated by the firework explosion and the spark position update is designed.In the experimental stage,the proposed model is validated by taking the assembly process of a wing as an example.The results show that the fitness function values of the solutions ob-tained using the proposed discrete fireworks algorithm are better compared with the discrete particle swarm optimization algorithm,and the fitness value of the proposed algorithm is improved by about 24.5%.
Large componentsAssembly sequenceFireworks algorithmOptimizationInterference matrixGaussian distribution
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