摘要
以江西省抚河娄家村流域为例,采用混沌粒子群优化算法(CPSO)优化半分布式水文模型(TOPMODEL)参数,并对优化结果进行了检验。结果表明,该法有效改善了PSO的全局寻优能力,粒子群体进化速度加快,收敛速度和精度提高。
Taking the Loujia Village Watershed in Fuhe River in Jiangxi Province for an example, chaotic particle swarm optimization is used to optimize the semi-distributed hydrologic model TOPMODEI. parameters and the results are verified. The results show that the proposed method improves the ability of global optimization in PSO, the particle swarm has fast convergence and the results has higher precision.
出处
《水电能源科学》
北大核心
2011年第7期13-15,共3页
Water Resources and Power
基金
水利部社会公益性基金资助项目(200801033)
中国水利水电科学研究院科研专项基金资助项目(资集1017)
国家自然科学基金资助项目(50609005)
