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Bi-stage learning adaptive multi-task optimization

delete2026-10-20
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PRE
AI
C
Chu-Xiang Li
Z
Zi-Jia Wang *
Q
Qian Yue *
Q
Qian-Hui Zhang
C
Chang-Long Wang
Z
Zhi-Hui Zhan
Y
Yusong Tan
H
Hua Li
S
Sam Kwong
张
张军 (Jun Zhang)
DOI:10.1016/j.asoc.2026.116655delete
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Abstract

Abstract

En 中文
• Develop a mixed population transfer strategy for inter-task KT. • Design an elitist local search strategy for intra-task SE. • Propose an adaptive stage switch strategy to balance KT and SE. • Illustrate the advantages in solving multitask and many-task optimization problems.
Keywords:
Evolutionary multitask optimization (EMTO)
Bi-stage strategy
Mixed transfer strategy
Adaptive stage switch

Journal

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

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N
Nankai University
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Guangzhou University
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sun yat-sen university
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Lingnan University
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national university of defense technology
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