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首页> 外文期刊>Journal of Software Engineering and Applications >Research on OD Matrix Calculation Based on Quantum Behaved Particle Swarm Optimization Algorithm
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Research on OD Matrix Calculation Based on Quantum Behaved Particle Swarm Optimization Algorithm

机译:基于量子行为粒子群算法的OD矩阵计算研究

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Traffic information is so far less than the number of OD variables, that it is difficult to obtain the satisfactory solution. In this paper, a method based on Quantum behaved Particle Swarm Optimization (QPSO) algorithm is developed to obtain the global optimal solution. It designs the method based on QPSO algorithm to solve the OD matrix prediction model, lists the detailed steps and points out how to choose the PSO operator. Moreover, it uses MATLAB program-ming language to carry out the simulation test. The simulation results show that the method has higher efficiency and accuracy.
机译:交通信息远远少于OD变量的数量,因此很难获得令人满意的解决方案。本文提出了一种基于量子行为粒子群优化(QPSO)算法的全局最优解。设计了基于QPSO算法求解OD矩阵预测模型的方法,列出了详细步骤,并指出了如何选择PSO算子。此外,它使用MATLAB编程语言进行仿真测试。仿真结果表明,该方法具有较高的效率和准确性。

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