Parallel Implementations of Modeling Dynamical Systems by Using System of Ordinary Differential Equations

被引:0
作者
Cao Hongqing Kang Lishan Yu JingxianState Key Laboratory of Software Engineering Wuhan University Wuhan HubeiChinaCollege of Chemistry and Molecular Sciences Wuhan University Wuhan Hubei China [430072 ,430072 ]
机构
关键词
parallel genetic programming; evolutionary modeling; system of ordinary differential equations;
D O I
暂无
中图分类号
O241 [数值分析];
学科分类号
070102 ;
摘要
<正> First, an asynchronous distributed parallel evolutionary modeling algorithm (PEMA) for building the model of system of ordinary differential equations for dynamical systems is proposed in this paper. Then a series of parallel experiments have been conducted to systematically test the influence of some important parallel control parameters on the performance of the algorithm. A lot of experimental results are obtained and we make some analysis and explanations to them.
引用
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页码:229 / 233
页数:5
相关论文
共 2 条
[1]   Evolutionary Modeling of Systems of Ordinary Differential Equations with Genetic Programming [J].
Hongqing Cao ;
Lishan Kang ;
Yuping Chen ;
Jingxian Yu .
Genetic Programming and Evolvable Machines, 2000, 1 (4) :309-337
[2]  
Genetic programming Ⅱ:Automatic Discovery of Reusable Programs. Koza.J.R. Cambridge, MA: MIT Press . 1994