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一个动态的多目标进化算法,使用双空间预测和基于替代品的采样

Tianyu Liu1, Xiangfei Wu2, He Xu3

  • 1School of Information Engineering, Shanghai Maritime University, Shanghai, 201306, China liuty@shmtu.edu.cn.

Evolutionary computation
|March 4, 2026
PubMed
概括

本研究介绍了DS-DMOEA,这是一个用于动态多目标优化问题的高级算法. 它有效地跟踪在不断变化的环境中的帕雷托最佳解决方案,使用双空间预测和基于替代品的采样.

关键词:
动态的多目标进化算法.双空间预测的预测基于代用人的采样采样.

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