Dynamic Simulations of Nonlinear Multi-Domain Systems Based on Genetic Programming and Bond Graphs

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@Article{Di2009612,

• author = "Wenhui Di and Bo Sun and Lixin Xu",
• title = "Dynamic Simulations of Nonlinear Multi-Domain Systems Based on Genetic Programming and Bond Graphs",
• journal = "Tsinghua Science \& Technology",
• volume = "14",
• number = "5",
• pages = "612--616",
• year = "2009",
• ISSN = "1007-0214",
• DOI = "doi:10.1016/S1007-0214(09)70125-7",
• URL = "http://www.sciencedirect.com/science/article/B7RKT-4XBR35X-B/2/f79f7984ea487a2629d93cc7ae6e2651",
• keywords = "genetic algorithms, genetic programming, bond graph (BG), evolutionary computation, system simulation",
• abstract = "A dynamic simulation method for non-linear systems based on genetic programming (GP) and bond graphs (BG) was developed to improve the design of nonlinear multi-domain energy conversion systems. The genetic operators enable the embryo bond graph to evolve towards the target graph according to the fitness function. Better simulation requires analysis of the optimization of the eigenvalue and the filter circuit evolution. The open topological design and space search ability of this method not only gives a more optimized convergence for the operation, but also reduces the generation time for the new circuit graph for the design of nonlinear multi-domain systems.",

}

Genetic Programming entries for Wenhui Di Bo Sun Lixin Xu

Citations