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:1.8051

@InCollection{hu:2008:DbE,

• 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",
• title = "GPBG: A Framework for Evolutionary Design of Multi-domain Engineering Systems Using Genetic Programming and Bond Graphs",
• booktitle = "Design by Evolution",
• publisher = "Springer",
• year = "2008",
• editor = "Philip F. Hingston and Luigi C. Barone and Zbigniew Michalewicz",
• series = "Natural Computing Series",
• chapter = "14",
• pages = "319--345",
• address = "Berlin, Heidelberg",
• email = "hujianju@gmail.com",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-540-74109-1",
• DOI = "doi:10.1007/978-3-540-74111-4_18",
• 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