摘要
在传统遗传算法(Genetic Algorithms,GA)基础上引入模拟退火技术(Simulated Annealing,SA)提出了遗传模拟退火算法(GSA),并将其应用到水质模型参数估值中。计算结果表明,GSA法综合了2种优化方法各自的优点,克服了传统GA容易早熟的缺点,加强了算法的收敛速度,因而具有良好的优化性能。不同的参数估值方法比较,进一步验证了新方法的有效性。
Based on the combination of Genetic Algorithms (GA) and Simulated Annealing Algorithms (SA), GSA was put forward in the paper. The paper also applied GSA to the parameters estimation in water quality mod-els. Results showed that GSA integrated the advantages of two algorithms, which could avoid premature in GA and has better optimizing capability and faster conver gence rate. Thus the validity of GSA has been testified using different parameters estimation methods.
出处
《上海环境科学》
CAS
CSSCI
CSCD
北大核心
2003年第9期619-622,共4页
Shanghai Environmental Sciences
基金
国家自然科学基金
编号70171055
50179011
高等学校优秀青年教师教学科研奖励计划项目
