Parallel evolutionary modeling for nonlinear ordinary differential equations
Kang Zhuo, Pu‐Kun Liu, Kang Li-shan · Wuhan University Journal of Natural Sciences · 2001
We introduce a new parallel evolutionary algorithm in modeling dynamic systems by nonlinear higher-order ordinary differential equations (NHODEs). The NHODEs models are much more universal than the traditional linear models. In order to accelerate the modeling process, we propose and realize a parallel evolutionary algorithm using distributed CORBA object on the heterogeneous networking. Some numerical experiments show that the new algorithm is feasible and efficient.