Introduction, Communications of the ACM, vol.46, issue.10, pp.24-28, 2003. ,
DOI : 10.1145/944217.944233
Improving the Quality of Distributed Composite Service Applications, In: ICCSW, 2012. ,
An approach for QoS-aware service composition based on genetic algorithms, Proceedings of the 2005 conference on Genetic and evolutionary computation , GECCO '05, 2005. ,
DOI : 10.1145/1068009.1068189
MOSES: A Framework for QoS Driven Runtime Adaptation of Service-Oriented Systems, IEEE Transactions on Software Engineering, vol.38, issue.5, p.99, 2011. ,
DOI : 10.1109/TSE.2011.68
Self-serv, 2002. ,
DOI : 10.1016/B978-155860869-6/50106-2
Efficient Resource-Aware Hybrid Configuration of Distributed Pervasive Applications, the 8th PerCom, 2010. ,
DOI : 10.1007/978-3-642-12654-3_22
Search Based Software Engineering: Techniques, Taxonomy, Tutorial, Lecture Notes in Computer Science, vol.83, issue.4, pp.1-59, 2012. ,
DOI : 10.1007/978-3-540-69062-7_8
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.399.6289
Surrogate-assisted evolutionary computation: Recent advances and future challenges, Swarm and Evolutionary Computation, vol.1, issue.2, pp.61-70, 2011. ,
DOI : 10.1016/j.swevo.2011.05.001
Heuristics for composite Web service decentralization, Software & Systems Modeling, vol.30, issue.5, pp.1-21, 2012. ,
DOI : 10.1007/s10270-012-0262-z
URL : https://hal.archives-ouvertes.fr/hal-01098743