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An interactive evolutionary multitask optimization algorithm for variables group-level knowledge transfer

delete2026-01-06
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宋英杰 cover
宋英杰 (Yingjie Song) *
C
Chunlin Song
DOI：10.1016/j.asoc.2026.114573delete
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Abstract

Abstract

En 中文
• Dynamically assigns computing resources, sharply boosting optimization efficiency. • Improved the expression of inter-task user knowledge and rule knowledge. • Group-level transfer guided by inter-task user knowledge enables reliable sharing. • Adjust solution by rule knowledge, improving solution quality and task convergence.

Journal

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

Organization

No organization information available