基于模糊遗传算法的约束Web服务组合优化
User-Centric Optimization for Constraint Web Service Composition using a Fuzzy-guided Genetic Algorithm System
摘要：
面向服务的应用程序（SOA）被认为是分布式环境的主要实用解决方案。然而，在这样的系统中，每个服务独立地响应用户请求，这是必不可少的组合它们提供复合增值服务。由于可能有许多组合来创建所请求的服务，因此重要的是找到一个其属性接近用户的期望，并满足一些非功能性约束和优化标准，如总成本或响应时间。在本文中，一个以用户为中心的方法来评估服务组合，试图获得用户的愿望。该方法采用模糊逻辑进行推理，根据用户的质量标准进行排序，并采用遗传算法优化QoS感知的合成问题。结果表明，基于模糊遗传算法的Web服务组合系统能够使用户更容易、更有效地参与到Web服务组合过程中。
英文摘要：
Service-Oriented Applications (SOA) are being regarded as the main pragmatic solution for distributed environments. In such systems, however each service responds the user request independently, it is essential to compose them for delivering a compound value-added service. Since, there may be a number of compositions to create the requested service, it is important to find one which its properties are close to user's desires and meet some non-functional constraints and optimize criteria such as overall cost or response time. In this paper, a user-centric approach is presented for evaluating the service compositions which attempts to obtain the user desires. This approach uses fuzzy logic in order to inference based on quality criteria ranked by user and Genetic Algorithms to optimize the QoS-aware composition problem. Results show that the Fuzzy-based Genetic algorithm system enables user to participate in the process of web service composition easier and more efficient.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
