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Information entropy based evolutionary multitasking optimization
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AI
DOI：10.1016/j.eswa.2026.131137.png)
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Abstract
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• Introduce a novel information entropy guidance mechanism for evolutionary multitasking optimization. • Propose an information entropy-based adaptive mutation strategy selection mechanism. • Develop an information entropy-based knowledge transfer strategy. • Validate the effectiveness of IEDE through comprehensive benchmark and a practical application.
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7.5
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3.0W
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