書誌事項
- タイトル別名
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- Pivot-based Generalization towards an Adapting Changing Environment
- カンキョウ ヘンカ ニ テキオウ スル タメ ノ ピボットガタ イッパンカ
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This paper proposes a concept and mechanism of the pivot-based generalization which can adapt to changing environment by introducing s# which represents two opposite situations while # which represents one situation in the context of Learning Classifier Systems. Intensive experiments, have revealed that (1) the pivot-based generalization can generalize individuals in the 2-objective Knapsack problem and real world water bus route optimization problem; (2) the sharp distance which represents distance between each individuals of the generalize individual contributes to controlling the number of s# individuals; (3) the pivot-based generalization of individuals can clarify the feature of solution space.
収録刊行物
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- 計測自動制御学会論文集
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計測自動制御学会論文集 49 (11), 1020-1028, 2013
公益社団法人 計測自動制御学会
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詳細情報 詳細情報について
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- CRID
- 1390282679481639808
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- NII論文ID
- 130004549711
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- NII書誌ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL書誌ID
- 025022422
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
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- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可