Sections 1 and 2 of the full paper explain our AFPSO algorithm mantioned in the title, which we believe is effective. The core of sections 1 and 2 consists of; (1) according to the requirements of business processes in IT services, an optimal selection model of IT services was established; response time, execution cost, reliability and availability were set as its objective functions; (2) an optimization algorithm to solve the model was designed; the self learning factor and global learning factor were adaptively tuned by the fuzzy inference rules so as to improve the convergence speed and global searching ability; (3) the optimal IT service unit which satisfied the QoS constraining condition of business process was obtained. Section 3 gives an application example; test results, presented in Table 5, and their analysis confirm preliminarily indeed the effectiveness of the proposed model and our AFPSO algorithm.%为了解决IT服务选择问题,提出了一种基于自适应模糊粒子群算法的IT服务优化选择方法.首先,针对业务流程对IT服务的需求,建立了以响应时间、执行费用、可靠性、可用度为目标的IT服务优化选择模型.然后,设计了求解模型的粒子群优化算法,应用模糊推理规则,自适应调整粒子进化过程中的自身学习因子和全局学习因子,以提高粒子收敛速度和全局搜索能力,从而获取了满足业务流程QoS约束的较优IT服务单元.最后以算例验证了模型及算法的可行性和有效性.
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