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A Web Service Composition Method Based on Merging Genetic Algorithm and Ant Colony Algorithm

机译:基于融合遗传算法和蚁群算法的Web服务组合方法

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摘要

In order to improve the efficiency of web service composition based on traditional heuristic algorithm, this paper focuses on the web service composition method by merging genetic algorithm(GA) and ant colony algorithm(ACA). Firstly, this paper transforms web service composition into finding a QoS global optimal path, then obtains the initial pheromone distribution of ACA by running GA, finally works out the QoS global optimal solution by running ACA. This paper compares the algorithm above with the web service composition method based on traditional heuristic algorithm and verifies its effectiveness through the experiment and related data.
机译:为了提高基于传统启发式算法的Web服务组合的效率,本文将遗传算法(GA)和蚁群算法(ACA)相结合,重点研究了Web服务组合方法。首先,将Web服务组合转换为找到QoS全局最优路径,然后通过运行GA获得ACA的初始信息素分布,最后通过运行ACA得出QoS全局最优解决方案。将上述算法与基于传统启发式算法的Web服务组合方法进行了比较,并通过实验和相关数据验证了其有效性。

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