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Indoor localization service based on magnetic field attracts increasing attention in the field of mobile computing in recent years. However, most of existing indoor localization methods based on magnetic field usually require the pedestrians to be equipped with a unified localization device, or take the magnetic value as the only characteristic of an indoor fingerprint map. Neither of these two kinds...
Combinatorial optimization problems are typically NP-hard, due to their intrinsic complexity. In this paper, we propose a novel chaotic particle swarm optimization algorithm (CS-PSO), which combines the chaos search method with the particle swarm optimization algorithm (PSO) for solving combinatorial optimization problems. In particular, in the initialization phase, the priori knowledge of the combination...
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