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计算机应用研究 2007
Research on Urban Bus Path Model Based on Particle Swarm Optimization
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Abstract:
Particle swarm optimization is a new swarm intelligence algorithm to find the solution to the optimal combination problem.Based on the bus passengers' selecting the travel path and particle swarm optimization theory,and combined the excellence of overall and partial searching in particle swarm optimization and the traveling salesman problem of operational research,a mathematical model for bus travel transit path of urban intelligent traffic is systematically put forward.It reaches the optimal goals of bus travel path selection by simulating an example with the help of MATLAB 7.0.At the same time,simulation results also testify the effectiveness for the proposed algorithm to solve the urban bus path planning.
