A Framework for Optimal Service Selection in QoS-Aware Web Service Composition using Elephant Herding Optimization
Fuente:
Zenodo
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Recurso digital |
| Veröffentlicht: |
Zenodo
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866901338688847872 |
|---|---|
| author | Dr. Sofia Elena Moreno Dr. Julian Alexander Reyes |
| author_facet | Dr. Sofia Elena Moreno Dr. Julian Alexander Reyes |
| contents | <p>—Web service composition combines available services to provide new functionality. Given the number of available services with similar functionalities and different non functional aspects (QoS), the problem of finding a QoS-optimal web service composition is considered as an optimization problem belonging to NP-hard class. Thus, an optimal solution cannot be found by exact algorithms within a reasonable time. In this paper, a meta-heuristic bio-inspired is presented to address the QoS aware web service composition; it is based on Elephant Herding Optimization (EHO) algorithm, which is inspired by the herding behavior of elephant group. EHO is characterized by a process of dividing and combining the population to sub populations (clan); this process allows the exchange of information between local searches to move toward a global optimum. However, with Applying others evolutionary algorithms the problem of early stagnancy in a local optimum cannot be avoided. Compared with PSO, the results of experimental evaluation show that our proposition significantly outperforms the existing algorithm with better performance of the fitness value and a fast convergence</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19333556 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A Framework for Optimal Service Selection in QoS-Aware Web Service Composition using Elephant Herding Optimization Dr. Sofia Elena Moreno Dr. Julian Alexander Reyes Elephant herding optimization web service composition bio-inspired algorithms QoS optimization. <p>—Web service composition combines available services to provide new functionality. Given the number of available services with similar functionalities and different non functional aspects (QoS), the problem of finding a QoS-optimal web service composition is considered as an optimization problem belonging to NP-hard class. Thus, an optimal solution cannot be found by exact algorithms within a reasonable time. In this paper, a meta-heuristic bio-inspired is presented to address the QoS aware web service composition; it is based on Elephant Herding Optimization (EHO) algorithm, which is inspired by the herding behavior of elephant group. EHO is characterized by a process of dividing and combining the population to sub populations (clan); this process allows the exchange of information between local searches to move toward a global optimum. However, with Applying others evolutionary algorithms the problem of early stagnancy in a local optimum cannot be avoided. Compared with PSO, the results of experimental evaluation show that our proposition significantly outperforms the existing algorithm with better performance of the fitness value and a fast convergence</p> |
| title | A Framework for Optimal Service Selection in QoS-Aware Web Service Composition using Elephant Herding Optimization |
| topic | Elephant herding optimization web service composition bio-inspired algorithms QoS optimization. |
| url | https://doi.org/10.5281/zenodo.19333556 |