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中文摘要：
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。
英文摘要：
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.
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同项目期刊论文
Mathematical model for determination of strand twist angle and diameter in stranded-wire helical spr
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