1-101 学習・進化型遺伝的ネットワークプログラミング
書誌事項
- タイトル別名
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- Genetic Network Programming (GNP) with Learning and Evolution
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抄録
A new evolutionary model named "Genetic Network Programming, GNP" has been proposed. GNP represents its solutions as network structures, which realizes better expression ability than GA and GP which use string and tree structures, respectively. GA, GP and the conventional GNP are based on offline learning, so it is difficult to adapt to the dynamical environments because offline learning methods cannot change their solutions until one generation ends. In order to adapt to dynamical environments quickly, the basic studies of online learning of GNP have been done. In this paper, GNP Learning and Evolution is proposed in order to acquire to explore the wide space of solutions using offline learning effectively avoiding ineffective trials.
収録刊行物
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- インテリジェントシステム・シンポジウム講演論文集
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インテリジェントシステム・シンポジウム講演論文集 12 1-6, 2002-11-14
日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1541698620277655808
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- NII論文ID
- 110002496456
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- NII書誌ID
- AA1190206X
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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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- NDL-Digital
- CiNii Articles