RLPLA: A Reinforcement Learning Algorithm of Web Service Composition with Preference Consideration

There are many static and dynamic Web services composition strategies, however literatures about automatic composition is very rare. In this article, a new algorithm based on reinforcement learning is proposed to realize web service composition automatically and randomly. On the other hand, the existing composition prototype systems mainly focus on function-oriented composition, but not QoS-oriented composition. After understanding the function-oriented composition by reinforcement learning, this paper then introduces preference logic to seek a QoS optimization solution, which is some kind of qualitative solution. When compared with quantitative solution it has many advantages. The result is a novel algorithm RLPLA, which is an algorithm of Web services composition based on reinforcement learning and preference logic