%0 Journal Article
	%A Samia Sadouki Chibani and  Abdelkamel Tari
	%D 2017
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 130, 2017
	%T Elephant Herding Optimization for Service Selection in QoS-Aware Web Service Composition
	%U https://publications.waset.org/pdf/10007974
	%V 130
	%X 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 1124 - 1128