计算技术与自动化2011，Vol.30Issue(2)：108-110,3.
自主迁移的并行遗传算法用于马斯京根模型参数估计
Parallel Genetic Algorithm with Self-migration to Parameter Estimation of Muskingum Model
谢盛嘉1
作者信息
- 1. 广东女子职业技术学院，广东广州511450
- 折叠
摘要
Abstract
Cenetic dgorithm is one of randomg lobal optimization algorithms,but the simple genetic algorithm is easy to fall into local optimal. Unify the parallel technology and the genetic algorithm, also conducts the research in view of the influence parallel genetic algorithm performance migration opportunity, this paper proposed the parallel genetic algorithm with self-migration for estimating the parameter of Muskingum model. The experimental result indicated that, this algorithm for estimated the parameter of Muskingum model has provided one effective method.关键词
自主迁移；并行遗传算法；马斯京根模型；参数估计Key words
self-migration / parallel genetic algorithm (muskingum model / parameter estimation分类
信息技术与安全科学引用本文复制引用
谢盛嘉..自主迁移的并行遗传算法用于马斯京根模型参数估计[J].计算技术与自动化,2011,30(2):108-110,3.
