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Information entropy based evolutionary multitasking optimization
DOI:10.1016/j.eswa.2026.131137.png)
Abstract
En 中文
• 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.
Journal
IF:
7.5
Papers:
2.9W
Citations:
10.2W

