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An enhanced explicit knowledge transfer method for evolutionary multi-task optimization

delete2026-04-17
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PRE
AI
P
Peng Tian
Y
Yadong Zhao
L
Lei Lian
王
王东 (Dong Wang) *
DOI：10.1016/j.swevo.2026.102396delete
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Abstract

Abstract

En 中文
• A loss function with the L1- L2 fidelity term and the nuclear regularization is given. • The EMEA-ADMM algorithm efficiently solves multi-task optimization problems. • The explicit knowledge transfer is more accurate compared with other algorithms.
Keywords:
loss function
nuclear regularization
EMEA-ADMM
multi-task optimization
knowledge transfer

Journal

Swarm and Evolutionary Computation cover
Swarm and Evolutionary Computation
IF:
8.5
Papers:
2.1K
Citations:
1.0W

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No organization information available