TY - GEN
T1 - The Configurability Study on Artificial Bee Colony Algorithm for QoS-aware Service Composition
AU - Wang, Haifang
AU - Xu, Xiaofei
AU - Liu, Zhizhong
AU - Wang, Zhongjie
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/5
Y1 - 2016/2/5
N2 - 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.
AB - 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.
KW - Artificial Bee Colony algorithm
KW - configurability of algorithms
KW - service composition
UR - https://www.scopus.com/pages/publications/84962271266
U2 - 10.1109/ICSS.2015.27
DO - 10.1109/ICSS.2015.27
M3 - 会议稿件
AN - SCOPUS:84962271266
T3 - Proceedings of International Conference on Service Science, ICSS
SP - 106
EP - 112
BT - Proceedings - 2015 International Conference on Services Science, ICSS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - International Conference on Services Science, ICSS 2015
Y2 - 8 May 2015 through 9 May 2015
ER -