Parameter-less GA based Crop Parameter Assimilation with High Performance Computing

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概要

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• Country level agricultural activities monitoring is necessary to ensure the food security. SWAP-DLGA (SWAP-Double Layer GA) is a simulation model to predict the agricultural information from satellite images. This paper proposes a method to run SWAP-DLGA with an automatic generation technique of suitable GA parameters. The proposed method computes the suitable GA parameters using the Parameter-less GA (PLGA) and runs SWAP-DLGA with the computed GA parameters. Both SWAP-DLGA and PLGA require huge computational time. This paper also presents implementation of the proposed method on a distributed computing system.

• 一般社団法人情報処理学会の論文
• 2009-02-19

著者

• Aida Kento

  Nii:東工大

• Akhter Shamim

  東工大

• SAKAMOTO KEIGO

  東工大

関連論文

• Evaluation of Interactive Scheduling Architecture for GridRPC Applications
• Evaluation of Interactive Scheduling Architecture for GridRPC Applications
• Parameter-less GA based Crop Parameter Assimilation with High Performance Computing
• Parameter-less GA based Crop Parameter Assimilation with High Performance Computing
• Parameter-less GA based crop parameter assimilation with high performance computing (計算機アーキテクチャ・ハイパフォーマンスコンピューティング・「ハイパフォーマンスコンピューティングとアーキテクチャの評価」に関する北海道ワークショップ(HOKKE-2009))

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