A multiobjective adaptive surrogate modeling-based optimization (MO-ASMO) framework using efficient sampling strategies

by Yong Hoon Lee, R. E. Corman, Randy H. Ewoldt and James T. Allison

Reference:

Yong Hoon Lee, R. E. Corman, Randy H. Ewoldt and James T. Allison (2017). “A multiobjective adaptive surrogate modeling-based optimization (MO-ASMO) framework using efficient sampling strategies”, In ASME International Design Engineering Technical Conference (IDETC), Volume 2B: 43rd Design Automation Conference, Cleveland, OH, USA, pp. V02BT03A023.

Bibtex Entry:

@inproceedings{Lee2017DETC,
    author = "Lee, Yong Hoon and Corman, R. E. and Ewoldt, Randy H. and Allison, James T.",
    title = "A multiobjective adaptive surrogate modeling-based optimization ({MO-ASMO}) framework using efficient sampling strategies",
    booktitle = "ASME International Design Engineering Technical Conference (IDETC), Volume 2B: 43rd Design Automation Conference",
    address = "Cleveland, OH, USA",
    year = "2017",
    month = aug,
    day = "6-9",
    number = "DETC2017-67541",
    pages = "V02BT03A023",
    pdf = "https://yonghoonlee.com/wp-content/uploads/2025/03/Lee_IDETC2017.pdf",
    doi = "10.1115/DETC2017-67541",
    gsid = "6446971347568604282",
}