Multi-objective artificial bee colony algorithm applied in QoS-awareservice composition optimization
多目标人工蜂群算法在服务组合优化中的应用

The widely used aggregate function algorithms can transform multi-objective problems into single-objective problems, but it's difficult to be designed, the versatility is weak, and the results can't reflect the optimization of each of the target. This paper proposed a multi-objective artificial colony algorithm based on Pareto, and improved the neighborhood search method. Finally, it gave an experiment. The results show that the improved algorithm has an advantage in the diversity of individuals in group and the approachability with the Pareto frontier.