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In this paper, the cloud services optimization problem considering energy consumption cost is discussed. The queue model is presented for customer request service on data center. Since the server energy utility is based on the CPU core frequency, the novel trade-off optimization model between services revenue and energy loss cost is proposed in the paper, including allocating the dynamic CPU frequency...
To handle multicriteria fuzzy decision-making problems, a new multicriteria decision-making method is proposed in which the information about criteria's weights is not completely certain, and the criteria values of alternatives are Atanassov's intuitionistic fuzzy sets (A-IFSs). Using evidential reasoning algorithms, the criteria values are aggregated; receiving the overall A-IFS for alternatives...
The Particle Swarm Optimization (PSO) plunges into the local minimum easily. In order to overcome this shortcoming, we propose an improved PSO algorithm with the features of linearly decreasing of inertia weight and the re-initialization of the particle when it gets stagnated. The improved PSO is a local PSO and its topology is wheels. From the experimental results of three non-linear testing functions...
The allocation optimization of project human resource is one of the most essential aspects in a project management. A situation with employees working on tasks that they are not well-suited for can lead to a significant loss of time and resources in addition to a sub-par product or service. This paper present a project human resource allocation method based on particle swarm optimization (PSO) in...
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