Cooperative body-brain coevolutionary synthesis of mechatronic systems

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@Article{DBLP:journals/aiedam/WangFTG08,

• author = "Jiachuan Wang and Zhun Fan and Janis P. Terpenny and Erik D. Goodman",
• title = "Cooperative body-brain coevolutionary synthesis of mechatronic systems",
• journal = "Artificial Intelligence for Engineering Design, Analysis and Manufacturing",
• volume = "22",
• number = "3",
• year = "2008",
• pages = "219--234",
• DOI = "10.1017/S0890060408000152",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• keywords = "genetic algorithms, genetic programming, Bond Graphs, Cooperative Coevolutionary Synthesis, Mechatronics",
• size = "16 pages",
• abstract = "To support the concurrent design processes of mechatronic subsystems, unified mechatronics modeling and cooperative body-brain coevolutionary synthesis are developed. In this paper, both body-passive physical systems and brain-active control systems can be represented using the bond graph paradigm. Bond graphs are combined with genetic programming to evolve low-level building blocks into systems with high-level functionalities including both topological configurations and parameter settings. Design spaces of coadapted mechatronic subsystems are automatically explored in parallel for overall design optimality. A quarter-car suspension system case study is provided. Compared with conventional design methods, semiactive suspension designs with more creativity and flexibility are achieved through this approach.",
• notes = "coevolution, Open Beagle",

}

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

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