实验表明它对于解决异构网络平台下分布式任务调度具有很好的收敛速度，最佳的调度长度和调度方案。
Experiment result indicates that it has fine convergence speed, good scheduling length, and fine scheduling scheme for distributed task scheduling in solution to heterogeneous network platform.
在这种大规模的分布式环境中进行资源管理和应用调度是一项复杂的任务。
The management of resources and application scheduling in such a large-scale distributed environment is a complex task.
任务分配与调度是分布式系统中的关键问题，应用遗传算法来解决这一问题是近年来出现的新思路。
Task matching and scheduling is a key technology of distributed system, and the problem is being resolved with genetic algorithms these years.
应用推荐