精品文档---下载后可任意编辑Web 服务合成系统中参数库优化算法的讨论的开题报告【摘要】Web 服务合成系统是指利用多个已有的 Web 服务合成一个新的Web 服务，该系统的一个关键问题是如何通过自动优化算法选取最优的候选服务。在这个过程中，参数库的优化尤为重要，因为一个准确的参数库可以直接影响到算法的性能和效率。因此，本文主要讨论 Web 服务合成系统中的参数库优化算法，并针对该领域的讨论现状和问题进行了分析和综述，提出了一种新的基于遗传算法的参数库优化算法，实现了该算法，并对实验结果进行了评估与分析。实验结果表明，该算法能够显著提高 Web 服务合成系统的性能和效率，为该领域的进展做出了一定贡献。【关键词】Web 服务合成系统；参数库优化算法；遗传算法；实验评估【Abstract】Web service composition system refers to the use of multiple existing web services to compose a new web service. One of the key issues in this system is how to select the best candidate service through automatic optimization algorithms. In this process, the optimization of the parameter library is particularly important, because an accurate parameter library can directly affect the performance and efficiency of the algorithm. Therefore, this paper mainly studies the parameter library optimization algorithm in the Web service composition system, and analyzes and summarizes the research status and problems in this field. A new parameter library optimization algorithm based on genetic algorithm is proposed, which is implemented and the experimental results are evaluated and analyzed. The experimental results show that the algorithm can significantly improve the performance and efficiency of the Web service composition system, and make certain contributions to the development of this field.【Keywords】Web service composition system; parameter library optimization algorithm; genetic algorithm; experimental evaluation
