Title :
Preference-Aware Web Service Composition Using Hierarchical Reinforcement Learning
Author :
Wang, Hongbing ; Guo, Xiaohui
Abstract :
Dynamic web service composition is currently a hot issue in research. It mainly focuses on function-oriented or QoS-oriented, but the research combines with them are scanty. In this paper, we propose an HRLPLA algorithm to implement dynamic composition using hierarchical reinforcement learning and preference reasoning, which can consider both function-oriented and Qos-oriented. Experimental results will show its high effectiveness.
Keywords :
Computer science; Conferences; Heuristic algorithms; Insurance; Intelligent agent; Learning; Logic; Search engines; Unemployment; Web services; Logic; Services Composition; Verification;
Conference_Titel :
Web Intelligence and Intelligent Agent Technologies, 2009. WI-IAT '09. IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Milan, Italy
Print_ISBN :
978-0-7695-3801-3
Electronic_ISBN :
978-1-4244-5331-3
DOI :
10.1109/WI-IAT.2009.291
