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Nowadays, knowledge based innovation design has been an essential technique to enhance enterprise's competitiveness. Nowadays, the main method to realize the innovation design is Structured Innovation (such as TRIZ) and Heuristic Innovation (such as biological inspired design). The former prefer to address specific issues through processes and tools, the latter is used to stimulate people's creativity,...
The Harmony Search (HS) method is an emerging meta-heuristic optimization algorithm. However, like most of the evolutionary computation techniques, it sometimes suffers from a rather slow search speed, and fails to find the global optima in an efficient way. In this paper, we propose and study a hybrid optimization approach, in which the HS is merged together with the Opposition-Based Learning (OBL)...
In a multivariable system, when multiple parameters jump simultaneously, a multiple models adaptive feedforward decoupling controller using hierarchical Dimension-By-Dimension technology is presented to solve the problems such as too many models, long computing time and so on. To find the optimal parameter, it adopts one-dimension search in series instead of multiple-dimension search in parallel....
Generative models are created to be used in the design and performance assessment of high layer wireless communication protocols and some error control strategies. Generative models can replace real digital wireless channels to significantly reduce the time and complexity of system simulation. The errors occurring in digital wireless channels are not independent but form clusters or bursts. Generative...
We consider the sum-rate maximization via linear precoding in downlink MIMO systems with quantized feedback. We address the precoding codebook design based on the capacity measure by introducing a new distance metric. We propose a codebook structure and its associated design algorithm that allows for significant reduction in the memory requirement and computational complexity. We then provide a system...
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