设计云服务平台下的网络团队成员优选决策

发布时间：2018-09-18 07:18

【摘要】：为了解决设计云服务平台下虚拟协同网络团队成员的优选决策问题,提出基于成员综合表现信息的成员优选方法。从设计云服务平台虚拟协同工作流程入手,分析了设计云服务平台下虚拟协同网络团队的特点以及成员选择的原则问题。综合考虑候选成员的个人能力信息与协同合作能力信息,构建了基于成员综合表现信息的优选指标体系以及多目标优化模型,采用第二代加强Pareto进化算法进行求解,得到了该选择问题的Pareto最优解。以设计云服务平台上的设计任务手持电钻的设计开发为例,验证了该决策方法和算法的可行性、有效性与实际可操作性。
[Abstract]:In order to solve the problem of optimal selection of team members based on the design of cloud service platform, a member selection method based on members' comprehensive performance information is proposed. Starting with the design of virtual collaborative workflow of cloud service platform, the characteristics of virtual collaborative network team and the principle of member selection under cloud service platform are analyzed. Considering the individual ability information and cooperative ability information of candidate members, the optimal selection index system and multi-objective optimization model based on member performance information are constructed, and the second generation enhanced Pareto evolutionary algorithm is used to solve the problem. The Pareto optimal solution of the selection problem is obtained. Taking the design task handheld electric drill on the cloud service platform as an example, the feasibility, validity and practicability of the decision method and algorithm are verified.
【作者单位】：西北工业大学陕西省工业设计工程实验室;中国石油大学(华东)机电工程学院;
【基金】：国家科技支撑计划资助项目(2015BAH21F01) 高等学校学科创新引智计划资助项目(B13044) 西安市科技计划资助项目(FW1409)~~
【分类号】：O225;TP393.09

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