Genetic Network Programming with Automatic Program Generation for Agent Control

• Li Bing

  Graduate School of Information, Production and Systems, Waseda University

• Mabu Shingo

  Graduate School of Information, Production and Systems, Waseda University

• Hirasawa Kotaro

  Graduate School of Information, Production and Systems, Waseda University

抄録

In this paper, a new Genetic Network Programming with Automatic Program Generation (GNP-APG) has been proposed and applied to the Tileworld problem. A kind of genotype-phenotype mapping process is introduced in GNP-APG to create programs. The procedure of the program generation based on evolution is demonstrated in this paper. The advantages of the proposed method are also described. Simulations use different Tileworlds between the training phase and testing phase for performance evaluations and the results shows that GNP-APG could have better performances than the conventional GNP method.

収録刊行物

• 進化計算学会論文誌

  進化計算学会論文誌 1 (1), 43-53, 2010

  進化計算学会

キーワード

• Genetic Programming
• Genetic Network Programming
• program generation
• tileworld
• genotype-phenotype mapping

詳細情報

• CRID: 1390001205365539328
• NII論文ID: 130004965134
• DOI: 10.11394/tjpnsec.1.43
• ISSN: 21857385
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可