scholarly journals Two-Step Artificial Bee Colony Algorithm Enhancement for QoS-Aware Web Service Selection Problem

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 21787-21794 ◽  
Author(s):  
Fadl Dahan ◽  
Hassan Mathkour ◽  
Mohammed Arafah
2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Changsheng Zhang ◽  
Bin Zhang

To tackle the QoS-based service selection problem, a hybrid artificial bee colony algorithm calledh-ABC is proposed, which incorporates the ant colony optimization mechanism into the artificial bee colony optimization process. In this algorithm, a skyline query process is used to filter the candidates related to each service class, which can greatly shrink the search space in case of not losing good candidates, and a flexible self-adaptive varying construct graph is designed to model the search space based on a clustering process. Then, based on this construct graph, different foraging strategies are designed for different groups of bees in the swarm. Finally, this approach is evaluated experimentally using different standard real datasets and synthetically generated datasets and compared with some recently proposed related service selection algorithms. It reveals very encouraging results in terms of the quality of solutions.


2011 ◽  
Vol 12 (9) ◽  
pp. 730-742 ◽  
Author(s):  
Bahareh Zibanezhad ◽  
Kamran Zamanifar ◽  
Razieh Sadat Sadjady ◽  
Yousef Rastegari

Sign in / Sign up

Export Citation Format

Share Document