Raw experimental data for "A Novel Method for Extraction of Front Boundary Agents in Multi-agent Systems"

The data set includes the original data from the multi-agent system used in the study experiments. All files are in `.xls` format and are organized into two compressed archives, available at Figshare (https://doi.org/10.6084/m9.figshare.29281631).The archive 'ffbd.zip' contains samples of the multi-agent system categorized into three subfolders based on agent distribution patterns: 'circle' (23 files), 'rect' (2 files) and 'random' (2,100 files). Each `.xls` file includes three columns: Agent ID, X coordinate, and Y coordinate. This dataset was used to evaluate the performance of the proposed FFBD algorithm.The archive 'questionnaire result1.zip' contains six files with aggregated results from the questionnaire survey. In each file, the first column represents the identified front boundary sequences, and the second column indicates the corresponding frequencies.Researchers interested in accessing the source code of the algorithm may contact the corresponding author.

本数据集包含本研究实验中所使用的多智能体系统（multi-agent system）原始数据。所有文件均采用`.xls`格式，被打包为两个压缩归档文件，可在Figshare平台（https://doi.org/10.6084/m9.figshare.29281631）获取。归档文件`ffbd.zip`内含多智能体系统的样本数据，依据智能体分布模式划分为三个子文件夹：`circle`（23个文件）、`rect`（2个文件）与`random`（2100个文件）。每个`.xls`文件包含三列数据：智能体ID（Agent ID）、X坐标与Y坐标。本数据集用于评估所提出的FFBD算法的性能。归档文件`questionnaire result1.zip`包含6份问卷调研的汇总结果文件。每份文件的第一列为已识别的前沿边界序列，第二列为对应的频次。如有研究者希望获取该算法的源代码，可联系通讯作者。