Parallel evolutionary modeling for nonlinear ordinary differential equations |
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Authors: | Kang Zhuo Liu Pu Kang Li-shan |
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Institution: | (1) Computation Center, State Key Lab. of Software Engineering, Wuhan University, 430072 Wuhan, China |
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Abstract: | 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.
Foundation item: Supported by the National Natural Science Foundation of China (No. 70071042 and No. 60073043)
Biography: Kang Zhuo (1970-), male, Lecturer, research interest: network computing and evolutionary computation. |
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Keywords: | parallel evolutionary algorithm higher-order ordinary differential equation CORBA |
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