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Learning-Based State Transition Algorithm

delete2025-11-23
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PRE
AI
Y
Yingchao Dong
周晓君 cover
周晓君 (Xiaojun Zhou)
DOI:10.1016/j.eswa.2025.130419delete
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Abstract

Abstract

En 中文
• A learning-based state transition algorithm (LeSTA) with a population-based framework is proposed. • Three novel learning mechanisms are incorporated into the LeSTA. • Experimental results have demonstrated the effectiveness and superiority of the proposed method.

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

X
Xinjiang Institute of Engineering
Scholars:
429
Papers: 426
Citations: 758
C
Central South University
Scholars:
10.0W
Papers: 7.2W
Citations: 10.9W