摘要
针对基于粒子群技术的反演算法计算量大、耗时长的缺点,提出了一种并行粒子群算法。同时,为了克服粒子群算法容易陷入局部极小的早熟收敛问题,采用了自适应变异技术,以克服局部收敛,加快收敛速度。结合具体算例,分析了粒子群数目和处理器数目对加速比的影响。
Since the calculation load of the back analysis algorithm based on AMPSO （Adaptive Mutation Particle Swarm Optimization） is rather heavy, the parallel algorithm is introduce to reduce it. Meanwhile, aiming at the premature convergence problem of PSO, the adaptive mutation technique is applied in the back analysis of seepage coefficients of engineering material. The effect of the number of threads and particles on the accelerator is analyzed through an example.
出处
《水力发电》
北大核心
2008年第2期17-19,共3页
Water Power
基金
国家科技支撑计划项目(2006BAC14B03)
国家自然科学基金重点项目(50539010)
