Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InCollection{hu:2004:GPTP,

• author = "Jianjun Hu and Erik Goodman",
• title = "Topological Synthesis of Robust Dynamic Systems by Sustainable Genetic Programming",
• booktitle = "Genetic Programming Theory and Practice {II}",
• year = "2004",
• editor = "Una-May O'Reilly and Tina Yu and Rick L. Riolo and Bill Worzel",
• chapter = "9",
• pages = "143--157",
• address = "Ann Arbor",
• month = "13-15 " # may,
• publisher = "Springer",
• note = "pages missing",
• keywords = "genetic algorithms, genetic programming, sustainable genetic programming, automated synthesis, dynamic systems, robust design, bond graphs, analog filter",
• ISBN = "0-387-23253-2",
• DOI = "doi:10.1007/0-387-23254-0_9",
• 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.",
• notes = "part of \cite{oreilly:2004:GPTP2}",

}

Genetic Programming entries for Jianjun Hu Erik Goodman

Citations