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Quality of Service (QoS) is often essential when the service consumer looks for a single service from a large pool. However, QoS of a composite service is aggregated in a rough way because the concrete service providers in the composition are seen as independent ones. In reality, business relationships such as dependencies and conflicts often exist among service providers, which unavoidably affect...
This paper presents a multi-objective particle swarm optimization with asynchronous update (AS-MOPSO). That is, Pareto front is immediately evaluated whenever a particle in the swarm updates, a subsequent particle in the swarm regulates its position partly based on information up to current iteration, and partially depending on previous message. To evaluate the features of the proposed algorithm,...
Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems, e.g., aerodynamic design optimization, qualitative model learning in bioinformatics. To address this problem, we present a combination between genetic algorithms and clustering methods. Specifically, the clustering method used in this paper is affinity propagation. The numerical experiments...
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