Review of data mining for multi-disciplinary design optimization

Shinkyu Jeong, K. Shimoyama

研究成果: Review article査読

18 被引用数 (Scopus)

抄録

One of the difficulties in multi-disciplinary design optimization lies in the complicated interactions between large numbers of objective functions, design variables, and constraints. This difficulty often leads to an unsuitable formulation of design problems. Data mining is often used to address these challenges. Data mining provides insight into the design of complicated systems. The information obtained from data mining can be used to support (a) formulation of design problems, (b) decision making, and (c) design steering. This report presents a review of recent developments and applications of data mining techniques in the engineering design field, and introduces real-world examples of state-of-the-art data mining techniques.

本文言語English
ページ(範囲)469-479
ページ数11
ジャーナルProceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
225
5
DOI
出版ステータスPublished - 2011 5 1

ASJC Scopus subject areas

  • 航空宇宙工学
  • 機械工学

フィンガープリント

「Review of data mining for multi-disciplinary design optimization」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル