基于改进粒子群算法的重力坝断面优化设计

Optimization Design of Gravity Dam Section Based on an Improved PSO Algorithm

针对传统粒子群算法(PSO)存在局部收敛不稳定的缺陷,提出一种改进粒子群算法(D-PSO)。该算法通过提高平衡点的多样性,使其全局搜索能力得到明显增强,对求解多峰值优化问题具有较好的适应性。将D-PSO算法应用于重力坝断面优化设计中,优化结果表明,该算法具有易实现、鲁棒性强和精度高等优点,与其他算法相比更适合应用于重力坝断面的优化设计。

According to the fact that general optimization algorithms have the disadvantages of the instability of local convergence, an improved al- gorithm diversity particle swarm optimization （D-PS0） was proposed, which obviously strengthened the global search ability and had better adapta- bility in solving multiple peak optimization problems by improving the diversity of the balance point. Applying this algorithm to the design of gravity dam section then it is found that the algorithm has the advantages of easy implementation, good robustness and high accuracy, which is more suit- able for the optimization design of gravity dam section.