云制造环境下的云企业资源优化配置

发布时间：2018-02-26 03:11

本文关键词： 云制造资源优化配置资源关联性资源相似性资源先验性　出处：《高技术通讯》2015年05期 　论文类型：期刊论文

【摘要】：分析了现有云制造环境下云企业资源优化配置方法的局限性,充分考虑了云制造环境下资源的关联性、相似性及先验性特点,从云企业运营费用的角度提出了一种新的云企业资源优化配置方法。该方法首先定义资源优化配置问题的决策变量,建立资源优化配置问题模型,然后建立资源的关联性、相似性及先验性的相应模型并将其应用到目标函数中,最后采用基于实数矩阵编码的遗传算法进行问题的求解。由于采用了适合实数矩阵编码的交叉变异规则和压力标定的遗传策略,该算法能够更快地趋近最优解。试验结果表明,该方法在充分考虑资源的关联性、相似性及先验性的情况下,能够取得较好的资源优化配置结果和较高的算法执行效率,从而验证了其可行性和有效性。
[Abstract]:This paper analyzes the limitations of the existing methods for optimizing the allocation of resources in cloud manufacturing environment, and fully considers the relevance, similarity and priori characteristics of resources in cloud manufacturing environment. From the point of view of operating expenses of cloud enterprises, this paper proposes a new method for optimizing resource allocation of cloud enterprises, which firstly defines the decision variables of resource optimal allocation problem, establishes a model of resource optimal allocation problem, and then establishes the relevance of resources. The corresponding model of similarity and priori is applied to the objective function. Finally, the genetic algorithm based on real matrix coding is used to solve the problem. Because of the crossover mutation rule suitable for real matrix coding and the genetic strategy of pressure calibration, the algorithm can reach the optimal solution more quickly. The experimental results show that, The proposed method can obtain better resource allocation results and higher algorithm execution efficiency, taking full account of the relevance, similarity and priori of resources, thus validating its feasibility and effectiveness.
【作者单位】：哈尔滨工业大学计算机科学与技术学院;
【基金】：国家科技支撑计划(2013BAH17F03) 国家自然科学基金(61273038)资助项目
【分类号】：F49;TP18

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