一个基于人口分布的自适应式多任务优化算法

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Xiaoyu Li1,2, Lei Wang1,3, Qiaoyong Jiang1

  • 1School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China.

Mathematical biosciences and engineering : MBE
|March 8, 2024
PubMed
概括

本研究介绍了一种自适应进化多任务优化 (EMTO) 算法. 它使用人口分布和最大平均差异来改善知识转移,减少任务之间的负转移,提高优化性能.

关键词:
不同的进化是不同的进化.进化的多任务优化优化.最大的平均差值差异.人口分布信息 人口分布信息相似之处是相似之处.

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