Data Set to Accompany "Quantifying the Impact of Parameter Tuning on Nature-Inspired Algorithms"

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).

本数据集汇聚了《量化参数调整对仿生算法影响》一文中所述实验的性能数据（Crossley, Nisbet, 及 Amos，2013年）。所谓'原始'性能数据，即所有运行过程中最优适应度值——分列于标有'未调优/调优'的单个表格中，其中性能数据分散于5个表格中，各对应一个特性值。'Summary.xlsx'文件汇总了所有数据——针对每个特性值及每个算法的平均性能及标准差。'Parameters.xlsx'文件则汇总了所用参数的概览，包括由F-Racing过程选择的'默认'（未调优）参数及调优参数。随附的论文已提交至2013年欧洲仿生学会议（ECAL13）。