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Through the analysis for the current urban road network and the urban traffic control schemes, establish the model of the average of vehicle up-time in road network. Then, by use for reference thinking of natural selection of genetic algorithm improved the minimum value problem of particle swarm optimization algorithm. Hereafter, the model was optimized by the improved particle swarm optimization,...
In this paper, a multiple fault parameter identification method based on extremum seeking algorithm is proposed for the consensus of multi-agent systems. Firstly, a model for the cooperative consensus multi-agent systems is established based on the graph theory and linear system theory. Secondly, by using the proposed cooperative consensus model, an adaptive multiple fault parameter identification...
A mathematic model for multi-objective bus route optimization based on the date of a bus corporation and limited conditions in the route network is developed on account of route optimization of bus dispatching. MAX-MIN Ant System is used to improve the global searching ability of ant colony algorithm and the improved algorithm is applied to solve the problem and its global optimization is obtained...
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