A study of similarity measure between tasks for multifactorial evolutionary algorithm
作者： Lei Zhou , Liang Feng , Jinghui Zhong , Zexuan Zhu , Bingshui Da
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摘要: In contrast to the traditional single-task evolutionary algorithms, multi-factorial algorithm (MFEA) has been proposed recently conduct search on multiple tasks simultaneously. It aims improve convergence characteristics of be tackled by seamlessly transferring knowledge among them. Towards superior multitasking performance, evaluation task relationship plays an important role for grouping related tasks, and solve them at same time. However, in literature, only a little work conducted provide deeper insights measure MFEA. this paper, we thus present study similarity between MFEA from three different perspectives. 21 problem sets are developed investigate analyze effectiveness measures with multitasking.
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sci-hub.se 参考文章(5)
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