Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@InProceedings{fan:2002:gecco,

• author = "Zhun Fan and Kisung Seo and Ronald C. Rosenberg and Jianjun Hu and Erik D. Goodman",
• title = "Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs",
• booktitle = "GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference",
• editor = "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska",
• year = "2002",
• pages = "1073--1080",
• address = "New York",
• publisher_address = "San Francisco, CA 94104, USA",
• month = "9-13 " # jul,
• publisher = "Morgan Kaufmann Publishers",
• keywords = "genetic algorithms, genetic programming, real world applications, bond graphs, design automation, mechatronic system, topology",
• ISBN = "1-55860-878-8",
• URL = "http://garage.cse.msu.edu/papers/GARAGe02-07-03.pdf",
• URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/RWA217.pdf",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-20.pdf",
• abstract = "To realize design automation of dynamic systems, there are two major issues to be dealt with: open-topology generation of dynamic systems and simulation or analysis of those models. For the first issue, we exploit the strong topology exploration capability of genetic programming to create and evolve structures representing dynamic systems. With the help of ERCs (ephemeral random constants) in genetic programming, we can also evolve the sizing of dynamic system components along with the structures. The second issue, simulation and analysis of those system models, is made more complex when they represent mixed-energy- domain systems. We take advantage of bond graphs as a tool for multi- or mixed-domain modeling and simulation of dynamic systems. Because there are many considerations in dynamic system design that are not completely captured by a bond graph, we would like to generate multiple solutions, allowing the designer more latitude in choosing a model to implement. The approach in this paper is capable of providing a variety of design choices to the designer for further analysis, comparison and trade-off. The approach is shown to be efficient and effective in an example of open-ended real- world dynamic system design application, a printer re-design problem.",
• notes = "GECCO-2002. A joint meeting of the eleventh International Conference on Genetic Algorithms (ICGA-2002) and the seventh Annual Genetic Programming Conference (GP-2002)",

}

Genetic Programming entries for Zhun Fan Kisung Seo Ronald C Rosenberg Jianjun Hu Erik Goodman

Citations