Protection with quality of service in optical WDM networks using many-objective ant colony optimization

2015 ◽  
Author(s):  
Tania Nunez ◽  
Victor Ayala ◽  
Julio Paciello ◽  
Benjamin Baran
Keyword(s):  
Quality Of Service ◽  
Ant Colony Optimization ◽  
Wdm Networks ◽  
Ant Colony ◽  
Optical Wdm Networks ◽  
Optical Wdm

An Adapted Ant-Inspired Algorithm for Enhancing Web Service Composition

2017 ◽  
Vol 13 (4) ◽  
pp. 181-197 ◽  
Author(s):  
Fadl Dahan ◽  
Khalil El Hindi ◽  
Ahmed Ghoneim
Keyword(s):  
Quality Of Service ◽  
Web Service ◽  
Ant Colony Optimization ◽  
Service Composition ◽  
Web Service Composition ◽  
Ant Colony ◽  
User Requirements ◽  
Diverse Population ◽  
Flexible Framework

Web Service Composition (WSC) provides a flexible framework for integrating independent web services to satisfy complex user requirements. WSC aims to choose the best web service from a set of candidates. The candidates have the same functionality and different non-functional criteria such as Quality of Service (QoS). In this work, the authors propose an ant-inspired algorithm for such problem. They named it Flying Ant Colony Optimization (FACO). Flying ants inject pheromone not only on the nodes on their paths but also on neighboring nodes increasing their chances of being explored in future iterations. The amount of pheromone deposited on these neighboring nodes is inversely proportional to the distance between them and the nodes on the path. The authors believe that by depositing pheromone on neighboring nodes, FACO may consider a more diverse population of solutions, which may avoid stagnation. The empirical experiments show that FACO outperform Ant Colony Optimization (ACO) for the WSC problem, in terms of the quality of solutions but it requires slightly more execution time.

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