Cooperative body-brain coevolutionary synthesis of mechatronic systems
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @Article{DBLP:journals/aiedam/WangFTG08,
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author = "Jiachuan Wang and Zhun Fan and Janis P. Terpenny and
Erik D. Goodman",
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title = "Cooperative body-brain coevolutionary synthesis of
mechatronic systems",
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journal = "Artificial Intelligence for Engineering Design,
Analysis and Manufacturing",
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volume = "22",
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number = "3",
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year = "2008",
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pages = "219--234",
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DOI = "doi:10.1017/S0890060408000152",
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bibsource = "DBLP, http://dblp.uni-trier.de",
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keywords = "genetic algorithms, genetic programming, Bond Graphs,
Cooperative Coevolutionary Synthesis, Mechatronics",
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size = "16 pages",
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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.",
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notes = "coevolution, Open Beagle",
- }
Genetic Programming entries for
Jiachuan Wang
Zhun Fan
Janis P Terpenny
Erik Goodman
Citations