GPBG: A Framework for Evolutionary Design of Multi-domain Engineering Systems Using Genetic Programming and Bond Graphs
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InCollection{hu:2008:DbE,
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author = "Jianjun Hu and Zhun Fan and Jiachuan Wang and
Shaobo Li and Kisung Seo and Xiangdong Peng and
Janis Terpenny and Ronald Rosenberg and Erik Goodman",
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title = "GPBG: A Framework for Evolutionary Design of
Multi-domain Engineering Systems Using Genetic
Programming and Bond Graphs",
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booktitle = "Design by Evolution",
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publisher = "Springer",
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year = "2008",
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editor = "Philip F. Hingston and Luigi C. Barone and
Zbigniew Michalewicz",
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series = "Natural Computing Series",
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chapter = "14",
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pages = "319--345",
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address = "Berlin, Heidelberg",
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email = "hujianju@gmail.com",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-540-74109-1",
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DOI = "doi:10.1007/978-3-540-74111-4_18",
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abstract = "Current engineering design is a multi-step process
proceeding from conceptual design to detailed design
and to evaluation and testing. It is estimated that
60percent of design decisions and most innovation occur
in the conceptual design stage, which may include
conceptual design of function, operating principles,
layout, shape, and structure. However, few
computational tools are available to help designers to
explore the design space and stimulate the product
innovation process. As a result, product innovation is
strongly constrained by the designer's ingenuity and
experience, and a systematic approach to product
innovation is strongly needed.",
- }
Genetic Programming entries for
Jianjun Hu
Zhun Fan
Jiachuan Wang
Shaobo Li
Kisung Seo
Xiangdong Peng
Janis P Terpenny
Ronald C Rosenberg
Erik Goodman
Citations