群知能アルゴリズムの個体ドロップアウトによる性能向上の検討(国外研修報告書)
書誌事項
- タイトル別名
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- A Study on Performance Improvement by Individual Dropout of Swarm Intelligence Algorithm(Reports of Overseas Activities)
抄録
The PSO has a network structure to exchange information with each other among individuals. The optimal solution search performance change by this network topology has been investigated and reported. The network structure is also considered to be an important factor in dropout. Therefore, in this paper, we investigate the performance change due to the network structure of PSO in using dropout. In addition, we confirmed the performance of the proposed method by numerical simulation.
収録刊行物
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- 日本工業大学研究報告 = Report of researches, Nippon Institute of Technology
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日本工業大学研究報告 = Report of researches, Nippon Institute of Technology 48 (4), 82-85, 2019-03
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詳細情報 詳細情報について
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- CRID
- 1050001338039228544
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- NII論文ID
- 120006592101
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- ISSN
- 21895449
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- 本文言語コード
- ja
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB
- CiNii Articles