Multi-objective genetic algorithms for pipe arrangement design

Satoshi Ikehira, Hajime Kimura

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

6 被引用数 (Scopus)

抄録

This paper presents an automatic design method for piping arrangement. A pipe, arrangement design problem is proposed for a space in which many pipes and objects co-exist. This problem includes large-scale numerical optimization and combinatorial optimization problems, as well as two criteria. For these reasons, it is difficult to optimize the problem using usual optimization techniques such as Random Search. Therefore, multi-objective genetic algorithms suitable for this problem are developed. The proposed method for optimizing a pipe arrangement efficiently is demonstrated through several experiments.

本文言語英語
ホスト出版物のタイトルGECCO 2006 - Genetic and Evolutionary Computation Conference
出版社Association for Computing Machinery (ACM)
ページ1869-1870
ページ数2
ISBN(印刷版)1595931864, 9781595931863
DOI
出版ステータス出版済み - 2006
イベント8th Annual Genetic and Evolutionary Computation Conference 2006 - Seattle, WA, 米国
継続期間: 7 8 20067 12 2006

出版物シリーズ

名前GECCO 2006 - Genetic and Evolutionary Computation Conference
2

その他

その他8th Annual Genetic and Evolutionary Computation Conference 2006
Country米国
CitySeattle, WA
Period7/8/067/12/06

All Science Journal Classification (ASJC) codes

  • Engineering(all)

フィンガープリント 「Multi-objective genetic algorithms for pipe arrangement design」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