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Various electromagnetic (EM) structures become more complex and often have increasing degrees of design freedom. Classical optimization methods require numerous simulation trials of different parameter combinations, which leads to a low design efficiency. To address this problem, an efficient EM structure optimization algorithm which combines differential evolution (DE) with machine learning technology...
Multi-radio access selection (MRAS) is a key issue to obtain performance improvement in heterogeneous wireless networks. MRAS can affect the users' QoS directly, as well as the resource allocation and load balance for networks. In this paper, a universal MRAS decision model was set up by multi-objective optimization methods. Parameters from upper layer and lower layer related with network selection...
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