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

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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