書誌事項
- タイトル別名
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- Parallel Multi-Objective GA Optimization For Distributed Watershed Model Parameters.
- ヘイレツ タモクテキ イデンテキ アルゴリズム ニ ヨル ブンプガタ ミズ ジュンカン モデル パラメータ ノ サイテキカ
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説明
This paper describes an automatic optimization method for the 20 parameters of our distributed watershed model on Kokubunji experimental basin. Because this model simulates not only the groundwater runoff but also the groundwater levels at 6 observation wells, a multi-objective optimization method has to be employed. Even though GA requires more computa-tional load by increasing number of parameters and simulated areas, implementation of parallel computing is expected to re-duce the computational time. Multi-Objective Genetic Algorithm (MOGA), an effective global optimization method suitable for parallel computing, is examined in this paper. After calibrating GA parameters by numerical experiments, parallel MOGA is tested with observed data on Kokubunji experimental basin. The result shows its practical utility.
収録刊行物
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- 水文・水資源学会誌
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水文・水資源学会誌 13 (4), 265-275, 2000
水文・水資源学会
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詳細情報 詳細情報について
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- CRID
- 1390001204440400000
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- NII論文ID
- 10004839779
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- NII書誌ID
- AN10088049
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- ISSN
- 13492853
- 09151389
- http://id.crossref.org/issn/09151389
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- NDL書誌ID
- 5446809
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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サーチ
- Crossref
- CiNii Articles
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可
