Hierarchical Response Surface Methodology

DOI
  • Tanaka Teppei
    Graduate School of Engineering, Kyoto University
  • Sakamoto Naohisa
    Center of the promotion of Excellence in Higher Education, Kyoto University
  • Koyamada Koji
    Center of the promotion of Excellence in Higher Education, Kyoto University

Bibliographic Information

Other Title
  • 階層型応答曲面法

Abstract

In this paper, we propose a optimization technique that we call a hierarchical Response Surface Methodology (hRSM). Since it is difficult to approximate a complex parameter space by using a single quadratic polynomial surface, hRSM adopted a recursive sub division technique and used the coefficient of multiple determinations (R2) to represent the response surface in each sub space for the threshold of the sub division. We verified the accuracy of hRSM by using some well-known benchmark functions that a reused in optimization. We confirmed the effectiveness of hRSM by applying it to bio-simulation's parameter estimation.

Journal

Keywords

Details 詳細情報について

  • CRID
    1390001205300628992
  • NII Article ID
    130004726283
  • DOI
    10.11308/tjsst.2.23
  • ISSN
    18835058
    18835031
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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