Application of particle swarm with linearly decreasing weight optimized projection pursuit model
DONG Lili1, YU Miao2, XU Shuqin3
1.Harbin Institute of Water Resources Co., Ltd., Harbin, Heilongjiang 150000, China; 2.Shandong L黬ing Soil and Water Conservation Engineering Design & Consulting Co., Ltd, Jinan, Shandong 250101, China; 3.College of Water Conservancy and Civil Enginee-ring, Northeast Agricultural University, Harbin, Heilongjiang 150030, China
Abstract:To overcome the lower local search ability and the problem of premature convergence in particle swarm optimization, and efficiently control the global and local search of particle swarm optimization, particle swarm optimization with linearly decreasing weight was proposed. It started from random solutions, which followed the current search for the optimal value to find the global optimum, increased the local search ability of the algorithm. By optimizing the algorithm with the projection pursuit model, particle swarm with linearly decreasing weight optimized projection pursuit model was established. The model was applied to optimize evaluation of dam slope protection, 9 indicators reselected as evaluation factors;as a result, an area-suitable optimization model of dam slope protection was proposed. The results show that using particle swarm with linearly decreasing weight optimized projection pursuit model can effectively find the best projection direction, and calculate projection values. According to the size of the projection index value the program can be optimized. It is feasible for comprehensive evaluation of dam slope protection mode. The advantage of this algorithm is its ease of implementation, high accuracy, fast convergence, and its superiority is demonstrated in solving practical problems, therefore it can be widely used in the field of engineering optimization.
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