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In this paper, the problem of joint dynamic spectrum access and multi-relay selection is investigated in relayenabled cooperative communication systems to maximize the system sum-capacity. Since the considered problem is a mixed integer nonlinear program, which is generally intractable to find the optimal solution, two matching theory-based suboptimal algorithms are proposed to reduce the computational...
To deal with the problems of topological structure cannot adjust adaptively, easy to trap into the local minimum and diversity losing in traditional particle swarm optimization algorithm, a newly adaptive PSO algorithm based on dynamic link matrix was proposed, which build the neighborhoods though link matrix and divide them into the sub-swarm based on feature clustering. The algorithm can adjust...
In recent years, GPU-CPU heterogeneous architectures have been increasingly adopted in high performance computing, because of their capabilities of providing high computational throughput. However, the energy consumption is a major concern due to the large scale of such kind of systems. There are a few existing efforts that try to lower the energy consumption of GPU-CPU architectures, but they address...
In this paper, A new method for dynamic learning of Takagi-Sugeno (T-S) model based on input-output data is presented. It is based on a novel learning algorithm that recursively updates T-S model structure and parameters by combining supervised and unsupervised learning. The rule-base and parameters of the T-S model continually evolve by adding new rules with more summarization power and by modifying...
Enlightened by the analysis method of modern anthropology for sociogroup, the ethnic group evolution algorithm (EGEA)*, whose population is formed of several ethnic groups, is proposed. The ethnic group is a kind of clustering form for individuals, and represents the possible evolution trends, which are implicit in population. In EGEA, ethnic groups are used as the competition and generation unit...
The research into intrusion detection system (IDS) inspired by immunology has been moderately successful, but was still tarnished by high false positive and poor adaptation which were caused by the lack of the environmental awareness. A novel hypothesis in immunology, the danger theory (DT), is emerging to meet these challenges. DT highlights the importance of the tissue and states that antigen presentation...
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