遇见数据集

Game theory based multi-task scheduling in cloud manufacturing using an extended biogeography-based optimization algorithm

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DataCite Commons2020-08-27 更新2024-07-27 收录
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资源简介:

This is the experimental data of the manuscript entitled "Game theory based multi-task scheduling in cloud manufacturing using an extended biogeography-based optimization algorithm". All data are generated through computer simulation and saved in the file with csv format. The data are the simulation of the real-world case. There are forty-seven instances for these experiments, which cover multiple scales. Three attributes including time, cost, and reliability of servies for achieving corresponding subtasks are shown in datasets.

本数据集为学术论文《采用扩展生物地理学优化算法的基于博弈论的云制造多任务调度》的配套实验数据。所有数据均通过计算机仿真生成,并以CSV(逗号分隔值)格式存储。该数据集基于真实工业场景进行仿真构建,本次实验共设置47个测试实例,覆盖多种规模等级。数据集中收录了各服务节点完成对应子任务的三项核心属性:耗时、成本与可靠性。

提供机构:
figshare
创建时间:
2019-06-11
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