Differential Vectors Empower Snow Ablation Optimizer

Tianfang Lu*, Haotian Li, Yifei Yang, Zhiwei Yu, Zhenyu Lei, Shangce Gao*

*この論文の責任著者

研究成果: 書籍の章/レポート/会議録会議への寄与査読

3 被引用数 (Scopus)

抄録

The Snow Ablation Optimizer (SAO) algorithm represents a new intelligent search method founded on the sublimation and melting phenomena of snow. It incorporates a dual-population mechanism to balance exploration and exploitation. However, one limitation of SAO is its propensity to become trapped in local optima. Coincidentally, the Differential Evolution (DE) algorithm exhibits strong global search capabilities. In light of this, we propose a fusion algorithm, named DESAO, that combines the strengths of SAO and DE. Our experimental results, conducted on the IEEE CEC2017 benchmark, demonstrate DESAO's superiority of optimization capabilities and rapid convergence rates.

本文言語英語
ホスト出版物のタイトルIEEE ITAIC 2023 - IEEE 11th Joint International Information Technology and Artificial Intelligence Conference
編集者Bing Xu, Kefen Mou
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1382-1386
ページ数5
ISBN(電子版)9798350333664
DOI
出版ステータス出版済み - 2023
イベント11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023 - Chongqing, 中国
継続期間: 2023/12/082023/12/10

出版物シリーズ

名前IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
ISSN(印刷版)2693-2865

学会

学会11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023
国/地域中国
CityChongqing
Period2023/12/082023/12/10

ASJC Scopus 主題領域

  • 人工知能
  • 情報システム

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