Evolutionary Modeling Algorithm for Systems of Ordinary Differential Equations Based on Mind Evolutionary Computation
Jianchao Zeng · Acta Simulata Systematica Sinica · 2002
Based on the fundamental Mind Evolutionary Computation (MEC), an effective method of similartaxis and dissimilation for MEC is present to solve modeling problem of systems of the ordinary differential equations. In the paper, a tree construct called information tree is built to record the information produced during the process of similartaxis and dissimilation and guide the new generation抯 producing according to the tree coding method in Genetic Programming GP). Finally, it is proved by the results of some experiments that the method of MEC presented in this paper, compared with the GP, holds the advantages of higher computing speed and better capability for global searching.