An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
QoS-aware service composition using NSGA-II1
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Applying multi-objective evolutionary algorithms to QoS-aware web service composition
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
A traffic shaping optimization methodology for web systems
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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Web services QoS optimization problem using the concept of Lorenz dominance is addressed. Lorenz solutions are equitable and well balanced. Such an approach could simplify the Decision Maker's choice. Evolutionary detection of Lorenz solution seem to be an appealing one. Some state-of-the art MOEAs are slightly modified for addressing the QoS optimization problem. Lorenz solutions drastically reduce the number of solutions in the Pareto set, and thus the decision costs.