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Progressive auto-encoding for domain adaptation in evolutionary multi-task optimization

delete2025-09-24
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PRE
AI
Q
Qiong Gu
Y
Yanchi Li *
龚文引 (Wenyin Gong)
原致远 (Zhiyuan Yuan)
B
Bin Ning
C
Chunyang Hu
J
J. F. Wu
DOI:10.1016/j.asoc.2025.113916delete
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Abstract

Abstract

En 中文
• Enhance evolutionary multi-task optimization by progressive auto-encoding (PAE). • Segmented PAE and Smooth PAE are introduced for stage-wise and gradual domain alignment. • Proposed methods outperform state-of-the-art algorithms on benchmarks and real-world applications.

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

C
China University of Geosciences
Scholars:
3.7W
Papers: 2.8W
Citations: 4.3W
C
China Fire and Rescue Institute
Scholars:
41
Papers: 38
Citations: 6
E
edan instruments, inc
Scholars:
2
Papers: 2
Citations: 0
H
Hubei University of Arts and Science
Scholars:
428
Papers: 210
Citations: 2.5K
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