@article{(Open Science Index):https://publications.waset.org/pdf/10007974, title = {Elephant Herding Optimization for Service Selection in QoS-Aware Web Service Composition}, author = {Samia Sadouki Chibani and Abdelkamel Tari}, country = {}, institution = {}, abstract = {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.}, journal = {International Journal of Computer and Information Engineering}, volume = {11}, number = {10}, year = {2017}, pages = {1124 - 1128}, ee = {https://publications.waset.org/pdf/10007974}, url = {https://publications.waset.org/vol/130}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 130, 2017}, }