Enhanced Arti cial Bee Colony Algorithm for QoS-aware Web Service Selection Problem

Journal Article

, Fadl Dahan, Khalil El Hindi, Ahmed Ghoneim . 2017

• المجلة \ الصحيفة: Special Issue on Web Information Systems and Technologies, Journal of Computing

مستخلص المنشور

 Web Service Composition (WSC) aims to select and aggregate
many web services to generate a work ow. The workflow contains many tasks
and for each task there are many web services to choose from. The challenge
is to select the best combination of web services that achieve the user require-
ments. This problem is called Web Service Selection (WSS).
In this work, we improve on the Artifcial Bee Colony (ABC) algorithm to
make it more suitable for the WSS problem. Our proposed enhancement con-
trols the exploitation and exploration strategies in such a way that encourages
exploration at early stages and exploitation at later stages. Our experiments
indicate that our algorithm fnds better solutions and reduces the execution
time compared with other algorithms.
Keywords Service-Oriented Computing (SOC) Web Service (WS) Web
Service Selection (WSS), Artificial Bee Colony (ABC), Enhanced Artificial
Bee Colony (EABC)