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In vehicle-to-vehicle (V2V) communications, low delay and long propagation distance are very important for multi-hop safety-related message broadcasting. Most earlier studies focused on one-hop broadcasting while little attention has been paid to multi-hop delay and propagation distance. In this study, a new model for analysing the connectivity probability, average hop count and one-hop delay of multi-hop...
Function optimization is always being one of the important problems of scientific field. Over the past a few decades, many artificial intelligent optimizing algorithms have been invented, such as genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), and so on. Artificial fish school algorithm (AFSA) is a novel optimizing method. In this paper, AFSA was applied to...
A system-on-chip hardware/software co-design platform was presented based on model driven-based design method. After the overall architecture of platform was described, four design levels and three mapping processes were introduced. Some key techniques were explained in detail, such as hardware/software partitioning algorithm based on genetic algorithm & constraint task scheduling, UML profile...
Gene expression programming (GEP) was improved (IGEP) to overcome the shortcomings that the initial population is generated randomly, there are no standards to measure the gene, and evolution results got before canpsilat be utilized. Quasi-law of nature that excessive multiplication, environmental factor selecting, using pheromones to measure gene, passing on from generation to generation and self-adaptive...
This paper proposed an algorithm of feature selection used in fusion of soft computing and based on the chain of data-information-cognition. The algorithm is as follow: Firstly, the weights wij from input layer to hidden layer are obtained when the training accuracy of BP neural network (BPNN) is got. Where i denotes the i th feature and j denotes the j th node in hidden layer of BPNN. Secondly, zeta...
Short-term load forecasting is an important part of the modernized power system administration. Some methods have been applied to short-term load forecasting and obtained a certain achievement. Considering the characteristics of gene expression programming (GEP), it is possible to apply GEP to short-term load forecasting. But there still are some shortcomings of GEP. Such as the initial population...
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