基于免疫学习的Web服务突现模型  

Model of Web Service Emergence Based on Immune-learning

作　　者：唐新亭[1] 张小峰[1] 杨洪勇[1] 

机构地区：[1]鲁东大学计算机科学与技术学院,烟台264025

出　　处：《计算机工程》2010年第9期173-175,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60875039)

摘　　要：针对复杂任务的Web服务组合问题,提出一种基于免疫学习的Web服务突现模型。该模型采用免疫原理和学习机制,使Web服务自动发现、协商、组合或合成以及执行,实现了Web服务的动态组合与面向复杂任务的服务突现。实验结果证明该模型具有学习、记忆和进化能力,能够自动组合Web服务解决复杂任务,具有较好的动态适应性和自调整能力。In order to resolve the combination problems of Web Service for complicated tasks,a model of Web Service emergence based on immune-learning is proposed.Dynamic combinations and service emergence are realized by auto-finding,negotiating,combining or composing and executing of Web Service based on immune principle and learning mechanism in the model.Experimental results prove that the model has the abilities of learning,memory and evolution to resolve complicated tasks by auto-combining Web Service,and has good flexibility and auto-adjusting ability.

关 键 词：WEB服务 突现 免疫 学习 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]