Data: Learning Path Optimization based on Multi-Attribute Matching and Variable Length Continuous Representation
收藏科学数据银行2022-03-04 更新2026-04-23 收录
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资源简介：
The dataset was randomly produced by MATLAB R2018b.The dataset named 'NewData***N' contains a structure P that saved all the student and material attributes. Where *** stands for the number of materials.The dataset named 'New***N' contains three variables: S, Gbest, and Gtime.S is a cell-matrix. Each cell contains a structure that saved the algorithm running information.Gbest is a double matrix of 30 rows. Each row saves the best fitness value of one algorithm run on 100 different learners.Gtime is a double matrix of 30 rows as well. Each row saves the running time of the corresponding algorithm run on 100 different learners.
提供机构：
Jiangsu University of Science and Technology
创建时间：
2022-02-27
