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首页> 外文会议>International conference on electric and electronics;EEIC 2011 >Optimization Algorithm on the Intelligence Schedule of Pubic Traffic Vehicles
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Optimization Algorithm on the Intelligence Schedule of Pubic Traffic Vehicles

机译：公交车辆智能调度的优化算法

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In this paper A model and the Genetic Algorithm for intelligent schedule of public traffic vehicles is researched according to the characteristics of the public transportation vehicles' scheduling, It adopts the true value of the coding method using the start time as the variable and uses the penalty function method to add a variety of constraints to the objective function when constructing the fitness function, which simplified the calculation. Finally, the simulation results are obtained by using the improved Genetic Algorithm for solving the non-uniform grid schedule, and a case study is carried out to verify the validity, objectivity and applicability of this model through calculated and analyzed practical data. Results show that the improved Genetic Algorithm can find the approximate best result in the huge search space of optimization.
机译：根据公交车辆调度的特点，研究了公交车辆智能调度的模型和遗传算法，采用起始时间为变量的编码方法的真值，并采用罚分法。函数方法在构造适应度函数时向目标函数添加各种约束，从而简化了计算。最后，使用改进的遗传算法求解网格调度不均，获得了仿真结果，并通过计算和分析实际数据验证了该模型的有效性，客观性和适用性。结果表明，改进的遗传算法可以在巨大的优化搜索空间中找到近似最佳结果。

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