Data Set to Accompany "Quantifying the Impact of Parameter Tuning on Nature-Inspired Algorithms"
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https://figshare.com/articles/dataset/Data_Set_to_Accompany_Quantifying_the_Impact_of_Parameter_Tuning_on_Nature_Inspired_Algorithms_/696908/4
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资源简介：
Performance data gathered in the experiments described in 'Quantifying the Impact of Parameter Tuning on Nature-Inspired Algorithms' (Crossley, Nisbet and Amos (2013)). 'Raw' performance data - that is to say, the best fitness from all runs performed - are available in the individual sheets labelled Untuned/Tuned , where performance data is split across 5 sheets - one for each characteristic. Summary.xlsx contains a summary of all the data - average performance/standard deviation for each characteristic value, for each algorithm. Parameters.xlsx contains a summary of the parameters used, both the 'default' (untuned) and tuned parameters selected by the F-Racing process. The accompanying paper has been submitted to the European Conference on Artificial Life 2013 (ECAL13).
提供机构：
figshare
创建时间：
2016-01-11
