Knowledge interaction with genetic programming in mechatronic systems design using bond graphs

Created by W.Langdon from gp-bibliography.bib Revision:1.7906

@Article{journals/tsmc/WangFTG05,

• title = "Knowledge interaction with genetic programming in mechatronic systems design using bond graphs",
• author = "Jiachuan Wang and Zhun Fan and Janis P. Terpenny and Erik D. Goodman",
• journal = "IEEE Transactions on Systems, Man, and Cybernetics, Part C",
• year = "2005",
• number = "2",
• volume = "35",
• pages = "172--182",
• month = may,
• bibdate = "2006-01-23",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/journals/tsmc/tsmcc35.html#WangFTG05",
• keywords = "genetic algorithms, genetic programming, band-pass filters, bond graphs, intelligent design assistants, knowledge acquisition, mechanical engineering computing, mechatronics, micromechanical devices, MEMS bandpass filter design application, bond graphs, evolutionary computation, knowledge discovery, knowledge interaction, mechatronic systems design, quarter-car suspension control system synthesis, unified network synthesis approach, Bond graphs, MEMS filter design, controller synthesis, knowledge interaction, mechatronics",
• DOI = "doi:10.1109/TSMCC.2004.841915",
• size = "11 pages",
• abstract = "This paper describes a unified network synthesis approach for the conceptual stage of mechatronic systems design using bond graphs. It facilitates knowledge interaction with evolutionary computation significantly by encoding the structure of a bond graph in a genetic programming tree representation. On the one hand, since bond graphs provide a succinct set of basic design primitives for mechatronic systems modelling, it is possible to extract useful modular design knowledge discovered during the evolutionary process for design creativity and reusability. On the other hand, design knowledge gained from experience can be incorporated into the evolutionary process to improve the topologically open-ended search capability of genetic programming for enhanced search efficiency and design feasibility. This integrated knowledge-based design approach is demonstrated in a quarter-car suspension control system synthesis and a MEMS bandpass filter design application.",
• notes = "openbeagle",

}

Genetic Programming entries for Jiachuan Wang Zhun Fan Janis P Terpenny Erik Goodman

Citations