@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},