人工蜂群算法在并行测试任务调度中的应用

Artificial Bee Colony Algorithm for Parallel Test Tasks Scheduling

并行测试是下一代自动测试系统的关键技术之一,而并行测试任务调度是并行测试的核心内容;首先建立并行测试调度的数学模型,根据人工蜂群算法解决动态调度优化问题的优势,提出基于人工基于蜂群算法的并行测试任务调度方法;并给出应用实例,仿真实验表明:该算法收敛快、准确率高,能有效解决并行测试调度优化问题。

Parallel test is the key technology of the next generation technology and the parallel test tasks scheduling is one of the important part of parallel test. The mathematical model of the problem is put forward, according to the advantage of solving the problem of dynamic scheduling with artificial bee colony algorithm, an approach of parallel test scheduling based on artificial bee colony algorithm is brought forward. An example was given, the result of simulation shows that this algorithm＇s constringency fast and the result has a high precision, it is a efficient way of solveing the problem of optimozed parallel test tasks scheduling.