The study of New GA technique by Special Feature Extracting of Gene

• ODA Juhachi

  Kanazawa University

• KANAI Ryo

  Kanazawa University of Graduate School

• KAWATO Yosuke

  Human and Mechanical Engineering, Kanazawa University

Bibliographic Information

Other Title

• 108 遺伝子の特徴抽出による新しい GA 法の開発研究

Abstract

The Genetic Algorithm (GA), which is optimum method based schema theorem, is applicable on a wide scale problem. So, various optimum methods derived from the GA are studied. In this study, one of them, that is the Special Feature Extracting GA (SFE-GA), is proposed. The SFE-GA is based on the idea that genes possessing suitable environment extend to all over the mass, and is GA with an operation of stepping up the function. This method is applied to a problem that searches of the maximum value in a simple function, and the validity is checked. The behavior in search is clarified and it is confirmed to extract the effective schema sequentially.

Journal

• The proceedings of the JSME annual meeting

  The proceedings of the JSME annual meeting 2003.6 (0), 15-16, 2003

  The Japan Society of Mechanical Engineers

Keywords

• Computational Mechanics
• Genetic Algorithm
• Special Feature Extracting
• Finite Element Method

Details

• CRID: 1390001206057531520
• NII Article ID: 110002525869
• DOI: 10.1299/jsmemecjo.2003.6.0_15
• ISSN: 24331325
• Web Site: https://www.jstage.jst.go.jp/article/jsmemecjo/2003.6/0/2003.6_15/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed