| Item type |
デフォルトアイテムタイプ_（フル）(1) |
| 公開日 |
2023-03-18 |
| タイトル |
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|
タイトル |
An Extended ISM for Globally Multimodal Function Optimization by Genetic Algorithms |
|
言語 |
en |
| 作成者 |
Karatsu, Naoya
Nagata, Yuichi
Ono, Isao
Kobayashi, Shigenobu
|
| アクセス権 |
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|
アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利情報 |
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|
権利情報 |
(c) Copyright by IEEE SMC Hiroshima Chapter. |
| 主題 |
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|
主題Scheme |
NDC |
|
主題 |
500 |
| 内容記述 |
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|
内容記述 |
When attempting to optimize a function where exists several big-valley structures, conventional GAs often fail to find the global optimum. Innately Split Model (ISM) is a framework of GAs, which is designed to avoid this phenomenon called UV -Phenomenon. However, ISM doesn't care about previouslysearched areas by the past populations. Thus, it is possible that populations of ISM waste evaluation cost for redundant searches reaching previously-found optima. In this paper, we introduce Extended ISM (EISM) that uses search information of past populations as trap to suppress overlapping searches. To show performance of EISM, we apply it to some test functions, and analyze the behavior. |
|
言語 |
en |
| 出版者 |
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|
出版者 |
IEEE SMC Hiroshima Chapter |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
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|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 関連情報 |
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|
識別子タイプ |
URI |
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|
関連識別子 |
http://www.hil.hiroshima-u.ac.jp/iwcia/2009/ |
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1883-3977 |
| 開始ページ |
|
|
開始ページ |
284 |
| 書誌情報 |
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
p. 284-289,
発行日 2009-11
|
| 旧ID |
28458 |
A1206.pdf (746.9 KB)
