Evaluation of canal seepage control plans by using simulated annealing particle swarm with projection pursuit
DONG Lili1, YU Miao2, XU Shuqin3
1. Harbin Institute of Water Resources Co. Ltd., Harbin, Heilongjiang 150030, China; 2.Shandong Lyujing Soil and Water Conservation Engineering Design & Consulting Co. Ltd., Jinan, Shandong 250101, China; 3.College of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
Abstract：Particle swarm optimization is a new technique. After simulated annealing method is introduced into the particle swarm optimization, the particle swarm algorithm not only can accept good solutions, but also can adopt worse solutions in a certain probability. As a result, the updated algorithm can avoid local minimum solutions to improve the convergence and accuracy of optimization. Further, the simulated annealing particle swarm algorithm is combined with projection pursuit, then a simulated annealing particle swarm optimizing projection pursuit model is established. The model is applied to optimize irrigation canal seepage control plans based 10 indices. Finally, we propose an optimization model to evaluate seepage control plans for a main canal in a specific irrigation district. The results show that the proposed model is feasible and plan IV is the best, showing the proposed simulated annealing particle swarm algorithm with projection pursuit is effective and applicable.
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