LIXuan,HOUJing-ming,TONGYu,et al.Optimization Design of Drainage Network Based on Surrogate Model Assisted Particle Swarm Optimization Algorithm[J].China Water & Wastewater,2022,38(17):117-124.
Optimization Design of Drainage Network Based on Surrogate Model Assisted Particle Swarm Optimization Algorithm
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第38卷
Number:
第17期
Page:
117-124
Column:
Date of publication:
2022-09-01
- Abstract:
- In recent years, urban flood disasters have become increasingly serious. A well-designed drainage network is one of the most economical and effective ways to alleviate urban floods. However, empirical methods are generally adopted to design the current drainage network, which not only has a high design cost, but also has limited drainage capacity. Therefore, SWMM was embedded into the optimization process of particle swarm algorithm by program modification, and an optimization model was established with economic cost and hydraulic characteristics as constraints to minimize the pipeline overflow. In addition, a drainage network optimization design method based on online surrogate model assisted particle swarm optimization algorithm was proposed by using coupling Kriging model to overcome the large fluctuation and low computational efficiency of the optimal solution of particle swarm optimization algorithm. The design method was verified in a drainage district in Xi’an and compared with the conventional design method. The proposed method maximized the flood mitigation effect under the constraints, and the pipeline overflow was reduced by 33.35% compared with the planning scheme.In addition, compared with the optimization results of the standard particle swarm optimization algorithm, the average computation time was reduced by 27.56%, and the optimization was more significant.
Last Update:
2022-09-01