書誌事項
- タイトル別名
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- Improvement of Grammatical Swarm
抄録
<p>Grammatical Swarm (GS), which is one of the evolutionary computations, is designed to find the function or the program satisfying the design objective. The algorithm of GS has one difficulty. Since the design variables are defined in the real-valued numbers, the real-valued variables have to be rounded to the integer-valued ones. The aim of this study is to present the real-coded Grammatical Swarm (RGS) in order to solve the above problem. The real-coded GS (RGS) is compared with the traditional GS in the symbolic regression problem. The best parameters of both algorithms are determined and then, their results are compared. The results show that RGS can find a better solution than traditional GS.</p>
収録刊行物
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- 計算力学講演会講演論文集
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計算力学講演会講演論文集 2019.32 (0), 008-, 2019
一般社団法人 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
- 1390846609816260736
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- NII論文ID
- 130007817128
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- ISSN
- 24242799
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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
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可