ISBN: 978-981-11-3671-9 DOI: 10.18178/wcse.2017.06.100
Improved Grey Wolf Optimizer for Resource Constrained Web Service Management
Abstract— The Grey Wolf Optimizer (GWO) algorithm is a newly proposed swarm intelligence based
algorithm. It is inspired by the social hierarchy and hunting behavior of grey wolves. However, in GWO
different leader hierarchy of grey wolves are considered making contributions to the search results equally.
This paper proposes an Improved Grey Wolf Optimizer (IGWO) algorithm for resource constrained web
service management by adding weighted position factor to diverse hierarchy of grey wolves. IGWO is tested
with standard dataset of PSPLIB to evaluate the ability of web service management in resource constrained
system. The results prove that the IGWO algorithm is competitive compared to well-known meta-heuristics.
Index Terms— Improved Grey Wolf Optimizer, Resource Constrained, Web Service Management
Weimin Xiao, Haojiang Deng, Zhichuan Guo, Linlin Hu
National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, CHINA
University of Chinese Academy of Sciences, CHINA
Cite: Weimin Xiao, Haojiang Deng, Zhichuan Guo, Linlin Hu, "Improved Grey Wolf Optimizer for Resource Constrained Web Service Management," Proceedings of 2017 the 7th International Workshop on Computer Science and Engineering, pp. 579-583, Beijing, 25-27 June, 2017.