考虑主体心理的云制造服务双层规划选择

TP399; 为了使云制造服务匹配达到供需双方都满意,在考虑双方利益的情况下,结合主体心理构建了一个云制造服务选择双层规划模型.针对决策主体对服务质量收益和损失的不同心理,以需求方对组合服务心理满意度作为上层规划的优化目标,把服务供给方对需求方心理满意度作为下层规划的优化目标.最后,采用改进的反弹自适应粒子群算法求解该模型,挑选出供需双方都满意的组合服务.实验仿真结果也证明了该模型的合理性和有效性....

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Bibliographic Details
Published in计算机应用研究 Vol. 35; no. 2; pp. 594 - 599
Main Author 赵金辉;王学慧;关文革;尹立杰
Format Journal Article
LanguageChinese
Published 河北地质大学网络信息安全实验室,石家庄,050031%河北地质大学宝石与材料工艺学院%河北地质大学信息工程学院,石家庄,050031 2018
Subjects
云制造
双层规划
心理
粒子群算法
bi-level programming
psychology
双层规划
cloud manufacturing
粒子群算法
云制造
particle swarm optimization
心理
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ISSN1001-3695
DOI10.3969/j.issn.1001-3695.2018.02.058

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Summary:TP399; 为了使云制造服务匹配达到供需双方都满意,在考虑双方利益的情况下,结合主体心理构建了一个云制造服务选择双层规划模型.针对决策主体对服务质量收益和损失的不同心理,以需求方对组合服务心理满意度作为上层规划的优化目标,把服务供给方对需求方心理满意度作为下层规划的优化目标.最后,采用改进的反弹自适应粒子群算法求解该模型,挑选出供需双方都满意的组合服务.实验仿真结果也证明了该模型的合理性和有效性.
Bibliography:51-1196/TP
cloud manufacturing ; psychology ; bi-level programming ; particle swarm optimization
Matching the cloud manufacturing services to satisfy the both sides of suppliers and demanders, this paper proposed a bi-level programming model, under taking a full consideration of interest and psychology for both sides. For the different psy- chology about ＂income＂ and ＂loss＂ of quality of service （QoS）, the psychological satisfaction of composite services was taken as the optimization goal at the upper layer while providers＇ psychological satisfaction to the demanders was as optimization goal of lower layer. Finally, it improved rebound adaptive particle swarm optimization algorithm was to solve proposed model which could pick out the composite services that were satisfactory for both. And the rationality and validity of proposed model is proved by simulations and experiments.
Zhao Jinhuia, Wang Xuehuib, Guan Wengec, Yin Lijiec （ a. Network Information Security Laboratory, b. School of Precious Stones ＆ Materials
ISSN:1001-3695
DOI:10.3969/j.issn.1001-3695.2018.02.058