PG-MACO Optimization Method for Ship Pipeline Layout
Aimed at the problem of low efficiency of ship pipeline design,an optimization method of pipeline layout is proposed.An optimization mathematical model is established by comprehensively considering the engineering background of safety,economy,coordination and operability,and the defects of ant colony optimization algorithm in dealing with mixed pipeline layout conditions are improved.A spatial state transition strategy for optimizing feasible solution search,a pheromone diffusion mechanism for improving pheromone inspiration effect and accelerating algorithm convergence are proposed,and a multi-ant colony co-evolution mechanism is designed for mixed pipeline layout conditions.Based on the secondary development technology,the application of this method in the third-party design software is realized,and verified by a nuclear primary pipeline layout project.The results show that the pheromone Gaussian diffusion multi ant colony optimization(PG-MACO)algorithm has a better performance and layout effect than the traditional ant colony algorithm.The routing efficiency is improved by 58.38％,the convergence algebra is shortened by 43.24％,the pipeline length is shortened by 33.88％,and the number of pipeline bends is reduced by 41.67％,which verifies the effectiveness and engineering practicability of the proposed method.
NETL
NSTL
万方数据
