Evaluation function optimization by the Demonstrational Interface using Distributed GA

• Kuwabara Nobuaki

  Graduate School of Science and Engineering, Meiji University

• Yamauchi Yukari

  International Christian University Division of Natural Science

• Mukaidono Masao

  Graduate School of Science and Engineering, Meiji University

Bibliographic Information

Other Title

• 分散GAを用いた例示インタフェースによる評価関数最適化

Abstract

Generally, it is difficult to define evaluation function, since it requires the special knowledge over the problem. To solve this problem, we propose a method by using Distributed Genetic Algorithm (DGA), The proposed system shows samples generated from each subgroup of DGA and the evaluation function is automatically tuned by choosing the sample with a user's intention. Reflection of individual taste is also enabled simultaneously. In this research, the evaluation function optimization by the Demonstrational Interface was applied to Fuzzy graph automatic drawing, and the validity of the proposed method was analyzed.

Journal

• Proceedings of the Fuzzy System Symposium

  Proceedings of the Fuzzy System Symposium 21 (0), 74-74, 2005

  Japan Society for Fuzzy Theory and Intelligent Informatics

Keywords

• Distributed GA
• Demonstrational Interface
• Optimization
• Fuzzy graph

Details

• CRID: 1390001205667797376
• NII Article ID: 130005035091
• DOI: 10.14864/fss.21.0.74.0
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed