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应用自然启发的元启发算法来解决跨学科的优化问题

Elvis Han Cui1, Zizhao Zhang2,3, Culsome Junwen Chen4

  • 1Department of Biostatistics, University of California, Los Angeles, CA, 90095, USA. elviscuihan@g.ucla.edu.

Scientific reports
|April 24, 2024
PubMed
概括

灵感来自自然的算法,如具有突变代理 (CSO-MA) 的竞争性群体优化器,有效地解决复杂的统计优化问题. 这证明了它们在各种科学和工业领域的广泛适用性.

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