摘要
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。
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.
出处
《计算机应用研究》
CSCD
北大核心
2018年第2期594-599,共6页
Application Research of Computers
基金
国家自然科学基金资助项目(61503260)
河北省社会科学发展重点课题资助项目(201602020215)
关键词
云制造
心理
双层规划
粒子群算法
cloud manufacturing
psychology
bi-level programming
particle swarm optimization
