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This paper proposes a new approach to using particle swarm optimization (PSO) algorithm to cluster fabric comfort. It is shown how PSO can be used to cluster the deformation comfort data by according to the similarity of the deformation comfort characteristics and the desired cluster number. The swarm was divided into two subgroups, and the inertia weight of each subgroup dynamically changed along...
This paper proposes a method to solve the question of load balancing in cluster. This method is based on immune mechanism is proposed to solve load balancing in cluster. The algorithm can implement diversity of solution effectively, by immune memory library and acceleration and restraint of antibodies thickness. The testing results, compared with weighted round robin algorithm and weighted least connections...
In view of the mechanism of artificial immune system has features of biomimetic adaptive, distributed, dynamic balance, and artificial immune system has the abilities of strong learning, memory, identification, extraction of the characteristics and so on, established an artificial immune algorithm for load balancing in VOD cluster. The testing results, compared with weighted round robin algorithm...
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