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1. 南京大学计算机软件新技术国家重点实验室,南京大学计算机科学与技术系,江苏,南京,210093
2. 南京邮电大学数理学院,江苏,南京,210003
3. 南京大学计算机软件新技术国家重点实验室南京大学计算机科学与技术系江苏南京,210093
4. 南京邮电大学数理学院江苏南京,210003
Published:2007
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LIU Xi-ping, DOU Wan-chun, CAI Shi-jie, et al. Allocation of Cooperative Problem Aiming at Interaction Relationship Model Optimization[J]. Acta Electronica Sinica, 2007, 35(2): 345-349.
将协作式问题合理地分配给各实体
通过对实体之间交互关系模型的优化获得较少交互关系数
对于减少实体的交互工作量
简化协作管理行为
降低通信代价
从而有效高质地解决该协作式问题具有重要意义.根据题内交互关系以及题外交互关系的定义
在分析以最小化实体之间交互关系数为目标的数学模型的基础上
提出了三个选择原则
以从每个子问题的各候选团队中选出合适的执行团队
并在此基础上设计实现了递阶优化分配算法
给出了模型的较优解.
To solve a complex cooperative problem effectively
the reasonable allocation is very important.By allocating a cooperative problem to multiple entities based on optimization of the interaction relationship model
the interaction relationship number could shrink
which could decrease the interaction quantity
facilitate the management on cooperation
reduce the communication cost
and sequentially underlie the effective and high quality solving to a complex cooperative problem.Based on the definition of the intra-interaction and extra-interaction relationship
a mathematical model with target function on the minimization of the interaction relationship number is analyzed.With three proposed selection principles
a sequential optimized allocation algorithm is designed and implemented to provide a better solution of that mathematical model.Experiments prove that interaction relationship number allocated by this method is much less than other methods
which guarantees that the cooperative problem could be solved more effectively.
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