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Due to the issues of traditional fuzzy C-means clustering algorithm, which is sensitive to the initial selection of the center and noise data, and the disadvantages of weak local search ability and development capability in standard artificial bee colony algorithm, this paper modifies artificial bee colony algorithm inspired by the thought of differential evolution and makes a more accurate description...
In order to deal with the QoS(Quality of Services)value fluctuations of Web services in dynamic environment, a service selection method based on dynamic QoS is proposed. Firstly, the method establishes an interval QoS model to represent the dynamic changes of QoS values. Then it uses the interval similarities to measure the proximity of the QoS values provided by candidate services to the QoS requirement...
Nowadays, network security defense based on game theory mostly used complete information or static game model. In order to get closer to the actual network and defend actively, we proposed a network attack-defense game model based on signaling game, which was modeled in a dynamic and incomplete way. We improved the attack-defense strategies quantitative method of the completed static game model to...
Focused on the problem of the QoS global optimal dynamic service selection, this paper established a multi-objective service composition optimization model with QoS restriction. Then, it analyzed some disadvantages of the traditional multi-objective particle swarm algorithm, such as less diversity of solutions and falling into local extremum easily. At last, it proposed a method of chaotic mutation...
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