Finding optimal solutions for QoS-aware Web service composition with conflicting objectives and various restrictions on quality matrices is a NP-hard problem. This paper proposes the use of multi-objective evolutionary algorithms (MOEAs for short) for QoS-aware service composition optimisation. More specifically, SPEA2 is introduced to achieve the goal. The algorithm is good at dealing with multi-objective combinational optimisation problems. Experimental results reveal that SPEA2 is able to approach the Pareto-optimal front with well spread distribution. The Pareto front approximations provide different trade-offs, from which the end-users may select the better one based on their preference. © 2010 Springer-Verlag.
CITATION STYLE
Li, L., Cheng, P., Ou, L., & Zhang, Z. (2010). Applying multi-objective evolutionary algorithms to QoS-aware web service composition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6441 LNAI, pp. 270–281). https://doi.org/10.1007/978-3-642-17313-4_27
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