| Citation: | ZHANG Bin, LU Hongyi, SONG Hanqiang, et al. Overall planning of aero-engine assembly based on improved flower pollination algorithm[J]. Journal of Aerospace Power, 2024, 39（7）：20220420 doi: 10.13224/j.cnki.jasp.20220420
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In view of the problems of complex structure, large number of parts, low assembly efficiency and high assembly cost of aero-engine, an assembly sequence optimization method based on improved flower pollination algorithm (IFPA) was proposed. The optimization target evaluation system was constructed with the influence factors of assembly priority, assembly stability, assembly aggregation, assembly redirection and basic component position. Different representation schemes, initial population generation against independent learning, and dynamically adjusted transition probability were adopted, uniform and elite variation was introduced in global and local pollination rules, and genetic mutation was added. The effectiveness of IFPA was verified by applying it to the assembly planning of aero-engine low-pressure compressor, and the parameter influence of IFPA was discussed. And compared with particle swarm algorithm, genetic algorithm, ant colony algorithm and flower pollination algorithm, the probability of finding the optimal sequence increased by 41%, 42%, 41% and 20%, respectively, which verified that IFPA can solve the assembly sequence planning superiority in question.
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