Robust and stable multi-task scheduling with uncertainties using a two-stage extended genetic algorithm

This is the experimental data of the manuscript entitled "Robust and stable multi-task scheduling with uncertainties using a two-stage extended genetic algorithm". All data are generated through computer simulation and saved in the file with txt format. The data are the simulation of the real-world case. There are 8 instances for these experiments, where i/j/k represents the numbers of tasks, subtasks and services, respectively. The number of tasks varies from 4 to 20, the number of services varies from 3 to 10, the number of total subtasks varies from 12 to 160. The QoS values of servies for achieving corresponding subtasks and information of service interruption are shown in datasets.<br>