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An interactive evolutionary multitask optimization algorithm for variables group-level knowledge transfer
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PRE
AI
DOI：10.1016/j.asoc.2026.114573.png)
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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
IF:
6.6
Papers:
1.4W
Citations:
4.8W
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