Paper Info
Title
The Configurability Study on Artificial Bee Colony Algorithm for QoS-aware Service Composition
Abstract
Artificial bee colony algorithm (ABC) has been widely adopted in solving QoS-aware service composition problem due to its advantages of few parameters, strong robustness and search capability. However, how to configure the parameters and optimization strategies of ABC to get the best optimization result is a challenge for non-professional users. To attach this issue, this paper focuses on the configurability study of artificial bee colony algorithm and extracting seven configurable points, namely key parameters assignments, initial food sources generation strategies, neighborhood search strategies, fitness function, food source selection methods for onlooker bees, new food source generation methods for scout bees and stop conditions, meanwhile, several different optional strategies for each configurable point are summarized. A prototype system for configuring ABC points is realized, users can obtain a concrete algorithm for QoS-aware service composition by determining specific strategy for each configuration point according to their application demands. In addition, the results and the performance analysis of the produced algorithm can be viewed.
Year
DOI
Venue
2015
10.1109/ICSS.2015.27
2015 International Conference on Service Science (ICSS)
Keywords
Field
DocType
Artificial Bee Colony algorithm,configurability of algorithms,service composition
Artificial bee colony algorithm,Qos aware,Fitness function,Service composition,Robustness (computer science),Artificial intelligence,Engineering,Neighborhood search
Conference
ISSN
Citations 
PageRank 
2165-3828
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
Haifang Wang1173.03
Xiaofei Xu240870.26
Zhi-Zhong Liu3564.99
Zhong-Jie Wang435664.60