A New Research of Resource Scheduling Based on Multi-agent Manufacturing Grid

Qiao Lu, Ning Song, Shibing Zhou
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Abstract

According to the complex environment of wide-area, dynamic and heterogeneous in the manufacturing grid, how quickly and accurately discover and the schedule resources, enable QoS to achieve the desired effect, this paper presented the new method to discovering the resources of using Mobile Agent in the manufacturing grid, has designed the resources optimal goal, improved genetic ant colony algorithm way optimization strategy, might obtain the very good convergence speed and exact solutions after the simulation experiment certificate.
基于多智能体制造网格的资源调度新研究
针对制造网格中广域、动态、异构的复杂环境,如何快速、准确地发现和调度资源,使QoS达到预期效果,本文提出了利用移动Agent在制造网格中发现资源的新方法,设计了资源最优目标,改进了遗传蚁群算法方式的优化策略。经过仿真实验证明,可以得到很好的收敛速度和精确解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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