Application of improved quantum particle swarm algorithm in initial configuration of aircraft spare parts

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Application of improved quantum particle swarm algorithm in initial configuration of aircraft spare parts

TIAN Jing, ZHANG Enhao, FU Weifang

College of Aeronautical Engineering, CAUC, Tianjin 300300, China

Received:2018-01-15 Revised:2018-03-14 Online:2018-10-25 Published:2018-11-19

Abstract

Abstract: Aiming at premature convergence and imperfect global optimization ability of quantum particle swarm optimal algorithm in optimal allocation, evolutionary factors and contraction expansion coefficient are improved. From the aspect of aircraft spare parts allocation model building, maximum unit cost system guarantee rate model is constructed, in which cost variables are introduced based on traditional goal of improving system assurance rate.Boeing's first stage equipment list is used as optimized object to validate the model, proving the better optimal result and faster convergence rate of the improved algorithm.

Key words: improved quantum particle swarm algorithm, improved system guarantee rate, unit cost, first stage equipment list

CLC Number:

F562.6

TIAN Jing, ZHANG Enhao, FU Weifang. Application of improved quantum particle swarm algorithm in initial configuration of aircraft spare parts[J]. .

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