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Community detection is an important field in research of social networks. There exist a lot of algorithms which most of them are based on the density of connections between groups of nodes. On the one hand, the error and lack of links may lead to great impact on the result of community detection. On the other hand, there are users with deep relation but without much communication, so the density of...
Aircraft arrival sequencing and scheduling (ASS) is a hot topic in air traffic control, which has been proven to be an NP-hard problem. So far, many efforts have been made by modeling this problem in a static case, in which the information of all the landing aircrafts is known in advance. However, the air traffic environment in the airport is dynamic. As new aircrafts are arriving at the airport continually,...
There is a huge energy-saving space in sports lighting area, sports lighting designers have taken plenty of measures to save energy, but using the intelligent optimization algorithms to optimize the sports lighting's light environment for energy-saving are rarely studied in domestic. In this paper we take advantage of the evolutionary parallel search abilities of genetic algorithms to find the appropriate...
The optimization of air route network (ARN) is an effective method to improve the transmission ability of air traffic flow. One crucial issue in optimizing the national ARN is the crossing waypoints location problem (CWLP), which determines the airspace capacity, airspace safety and flight efficiency. However, the existing works always focus on one or two aspects regardless of the airspace capacity,...
Content-based image retrieval often uses the integration of various features. The characteristic dimensions are up to hundreds of dimensions. The capabilities for image representation", "storage", " management far exceed that of the database. Retrieval and matching of large-scale image are the urgent problems which need to be solved. To solve the construction of image indexing...
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