摘要
为有效地对云端服务资源进行优化配置以降低制造服务成本,在云制造资源优化配置问题进行形式化描述的基础上,考虑物料流和信息流对时间和成本的实际影响,构建了以成本和时间最小化、质量最优化为目标的资源优化配置模型,并采用最大继承法对资源配置模型进行求解,计算结果表明了该模型和算法的有效性。通过与现存算法进行比较,验证了该模型及算法的稳定性和可行性。
To optimize the allocation of cloud service resources effectively and to reduce the cost of manufacturing services, by considering the influence of material flow and information flow on time and cost, a resource optimization model with the least cost, the least time and the most quality based on formal description of resource allocation problem in cloud manufacturing was established. Max Inherit Optimization（MlO）approach was used to solve the model, and the result demonstrated the effectiveness of proposed model. Through comparing with current algorithm, the stability and the feasibility of this model were verified.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2012年第7期1396-1405,共10页
Computer Integrated Manufacturing Systems
基金
国家杰出青年科学基金资助项目(50925518)
国家自然科学基金资助项目(51005260)
国家科技支撑计划资助项目(2012BAF12B09)~~
关键词
云制造
资源配置模型
最大继承法
物料流
信息流
cloud manufacturing
resources allocation models
max inherit optimization
material flow
information flow
