階層型共進化モデルと論理値型GPを用いた不良品回収制度の改善のための社会シミュレーション

• 渡辺 哲朗

  東京大学 大学院 工学系研究科 技術経営戦略学専攻

• 菅野 太郎

  東京大学 大学院 工学系研究科 システム創成学専攻

• 古田 一雄

  東京大学 大学院 工学系研究科 技術経営戦略学専攻

書誌事項

タイトル別名

• Social Simulation for Improving Product Recall Systems by Layered Co-evolution Model and Logic Value Typed Genetic Programming

抄録

In recent years, accidents and product recalls caused by product failures have become major problems in many industries worldwide. To predict how changes of a product recall system affects safety in the society and to get valuable suggestions to improve product recall systems, we simulated the recall process in society using social simulation model. This research is important because the current product recall systems are not designed by mathematical and predictive approaches such as a computer simulation, but designed by empirical approaches. As a simulation model, we propose Layered Co-evolution Model with Logic Value Typed Genetic Programming (GP). We evaluated the proposed method by using the multi-agent simulation in an artificial society where producer agents and consumer agents both compete and cooperate with each other. This experiment discovered that the producer agents and the consumer agents are able to co-evolve toward a convergence point in Layered Co-evolution Model through the interactions between both types of agents. From the experiment, it is also understood that Logic Value Typed GP, which uses logic values and logic operators, has the advantages over the existing GP method that uses real number values. The Logic Value Typed GP is more stable in the evolutionary process and more efficient in terms of agents' learning process. In addition, we predicted that making the accident-compensation-level stricter decreases the frequency of product accidents in the whole artificial society. This is the result of the producer agents increasing the frequency of product recalls or raising production costs under such a stricter level. This prediction is useful for realizing a safer society.

収録刊行物

• 進化計算学会論文誌

  進化計算学会論文誌 8 (2), 36-51, 2017

  進化計算学会

キーワード

• product recall system
• multi-agent simulation
• artificial society
• layered co-evolution model
• logic value typed Genetic Programming

詳細情報

• CRID: 1390001205366047104
• NII論文ID: 130006210874
• DOI: 10.11394/tjpnsec.8.36
• ISSN: 21857385
• 本文言語コード: ja
• 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