Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming
Created by W.Langdon from
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- @InCollection{hu:2004:GPTP,
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author = "Jianjun Hu and Erik Goodman",
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title = "Topological Synthesis of Robust Dynamic Systems by
Sustainable Genetic Programming",
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booktitle = "Genetic Programming Theory and Practice {II}",
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year = "2004",
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editor = "Una-May O'Reilly and Tina Yu and Rick L. Riolo and
Bill Worzel",
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chapter = "9",
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pages = "143--157",
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address = "Ann Arbor",
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month = "13-15 " # may,
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publisher = "Springer",
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note = "pages missing",
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keywords = "genetic algorithms, genetic programming, sustainable
genetic programming, automated synthesis, dynamic
systems, robust design, bond graphs, analog filter",
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ISBN = "0-387-23253-2",
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DOI = "doi:10.1007/0-387-23254-0_9",
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abstract = "Traditional robust design constitutes only one step in
the detailed design stage, where parameters of a design
solution are tuned to improve the robustness of the
system. This chapter proposes that robust design should
start from the conceptual design stage and genetic
programming-based open-ended topology search can be
used for automated synthesis of robust systems.
Combined with a bond graph-based dynamic system
synthesis methodology, an improved sustainable genetic
programming technique - quick hierarchical fair
competition (QHFC)- is used to evolve robust high-pass
analog filters. It is shown that topological innovation
by genetic programming can be used to improve the
robustness of evolved design solutions with respect to
both parameter perturbations and topology faults.",
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notes = "part of \cite{oreilly:2004:GPTP2}",
- }
Genetic Programming entries for
Jianjun Hu
Erik Goodman
Citations