Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Koza J R.Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, MA: MIT Press, 1992.
Koza J R.Genetic Programming II: Automatic Discovery of Reusable Programs. Cambridge, MA: MIT Press, 1994.
Cao H Q, Kang L S, Chen Y P, et al. Evolutionary Modeling of System of Ordinary Differential Equations with Genetic Programming.Genetic Programming and Evolvable Machines, 2000,1(4): 309–337.
Cao H Q, Kang L. S, Chen Y P, et al. A Two-level Hybrid Evolutionary Algorithm for Modeling One-dimensional Dynamic System by Higher-order ODE Models.IEEE Transactions on Systems, Man, and Cybernetics ( Part B: Cybernetics), 2000,30(2): 351–357.
Author information
Authors and Affiliations
Additional information
Foundation item: Supported by the National Natural Science Foundation of China (60133010, 70071042, 60073043)
Biography: Cao Hong-qing ( 1972-), female, Associate professor, research direction; evolutionary computing, parallel computing.
Rights and permissions
About this article
Cite this article
Hong-qing, C., Li-shan, K. & Jing-xian, Y. Parallel implementations of modeling. Wuhan Univ. J. of Nat. Sci. 8, 229–233 (2003). https://doi.org/10.1007/BF02899484
Received:
Issue Date:
DOI: https://doi.org/10.1007/BF02899484