Precise Seeking ACO Method for Optimum Drive Operation

• Hamaguchi Akira

  Osaka Sangyo University

• Okujo Daisuke

  Osaka Sangyo University

• Hiramatsu Ayako

  Osaka Sangyo University

• Nakaniwa Akiko

  Osaka Sangyo University

• Nose Kazuo

  Osaka Sangyo University

Bibliographic Information

Other Title

• 探索空間細分化ACO法による車の運転操作生成
• Derivation of Optimum Polar Angle Quadrature Set for the Method of Characteristics Based on Approximation Error for the Bickley Function

Abstract

In the search of solution candidates, we propose a precise seeking Ant Colony Optimization (PSACO) Method. The PSACO Method changes the search space based on degree of similarity of the solution set. We applied this method to the seeking problem of optimum drive operation. Numerical experiments concerning a variety of parking problems show the effect of the propsed method.

Journal

• Proceedings of the Japan Joint Automatic Control Conference

  Proceedings of the Japan Joint Automatic Control Conference 50 (0), 136-136, 2007

  The Japan Joint Automatic Control Conference

Keywords

• Precise Seeking
• Ant Colony Optimization
• Drive Operation

Details

• CRID: 1390001205644914560
• NII Article ID: 10018294639
• NII Book ID: AA00703720
• ISSN: 00223131
• DOI: 10.11511/jacc.50.0.136.0
• NDL BIB ID: 8662013
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8662013
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • CiNii Articles
• Abstract License Flag: Disallowed