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- W2392168026 abstract "The data fusion problem of different important information sources is a typical combined optimization problem in multi-sensor information fusion,and its computing burden increases heavily with the dimensions.By dealing with this problem,an improved particle swarm optimization(QPSO) based on its ability of solving this kind of problem is used.By establishing an objective function integrating information gain and processing time,this paper describes a novel hierarchical multisensor data fusion algorithm adopting this algorithm.The distinctive feature of this is its capability of fusing data in a near optimal manner when there is no information about the reliability of the information sources,the degree of redundancy/complementarity of the information sources,and the structure of the hierarchy is available." @default.
- W2392168026 created "2016-06-24" @default.
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- W2392168026 date "2009-01-01" @default.
- W2392168026 modified "2023-09-26" @default.
- W2392168026 title "Improved Particle Swarm Optimization for Multisensor Fusion" @default.
- W2392168026 hasPublicationYear "2009" @default.
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