计算机工程 ›› 2008, Vol. 34 ›› Issue (24): 186-189.doi: 10.3969/j.issn.1000-3428.2008.24.065

• 人工智能及识别技术 • 上一篇    下一篇

基于AIS的服务匹配模型

王 磊,刘戈峰,李园园   

  1. (西安理工大学计算机科学与工程学院,西安 710048)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-12-20 发布日期:2008-12-20

AIS-based Service Match Model

WANG Lei, LIU Ge-feng, LI Yuan-yuan   

  1. (School of Computer Science & Engineering, Xi’an University of Technology, Xi’an 710048)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-12-20 Published:2008-12-20

摘要: 针对在当前服务发现系统的服务匹配过程中存在的系统自学习能力差的缺点,借鉴人工免疫系统中细胞变异、演化和二次响应等基本原理,通过模拟抗体-抗原识别机制来解决实际匹配问题,提出一种基于人工免疫系统的服务匹配模型。理论分析与仿真实验结果表明,该模型不仅在查全率、匹配速度等方面较传统服务发现系统有一定的提高,而且实现了由已知服务请求推测出相似服务请求,进而搜寻到最佳匹配服务的功能,提高了服务匹配过程中系统的适应学习、记忆和动态演化的能力。

关键词: 人工免疫系统, 服务发现, 自学习, 二次响应

Abstract: With regarded to the problem that the current system’s self-learning ability usually appears weak during service discovery, a novel Artificial Immune System(AIS) based service match model is proposed, which is based on the reference to the principles of cell’s mutation, evaluation and the secondary response abilities, as well as simulation on the antibody-antigen identification mechanism. Theoretical analysis and simulations show that the model can increase the recall ratio and match speed, and realize the function that similar services can be obtained by known services. Furthermore, this service match model is able to improve a system’s self-learning, memory and dynamic evaluation capabilities.

Key words: Artificial Immune System(AIS), service discovery, self-learning, secondary response

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