指挥控制与仿真2016，Vol.38Issue(3)：39-45,7.DOI:10.3969/j.issn.1673-3819.2016.03.007
基于案例决策理论的仿真任务共同体服务选择算法
Study of Simulation Task Community Service Selection Algorithm Based on Case-based Decision Theory
汪霆 1刘高峰1
作者信息
- 1. 海军工程大学电子工程学院，湖北 武汉 430033
- 折叠
摘要
Abstract
Resources allocation and optimization becomes a key problems during the research of service⁃oriented large⁃scale multipurpose simulation system, in the meanwhile service selection with unknown status is one of the difficulties in resources allocation and optimization. To solve the problems, the paper proposes a method of simulation task community, designed a task community service selection algorithm ( CBDSSA) based on case⁃based decision theory. By the means of coherent calcu⁃lation, the algorithm can successfully build similar historical case set and create the utility of its implementation effect. Final⁃ly, the overall utilities of each alternative service selection cases are calculated and sorted by integrating the similarities and utilities. The algorithm needs fewer constraints and has strong logicality and practical applicability. It provides a new method of practice in task community service selection, and has reference value for the research of service selection of large⁃scale multipurpose simulation system.关键词
面向服务/仿真系统/基于案例的决策理论/仿真任务共同体/服务选择Key words
SOA/simulation system/case-based decision theory/simulation task community/service selection分类
信息技术与安全科学引用本文复制引用
汪霆,刘高峰..基于案例决策理论的仿真任务共同体服务选择算法[J].指挥控制与仿真,2016,38(3):39-45,7.
