Optimization Algorithm on the Intelligence Schedule of Pubic Traffic Vehicles
Optimization Algorithm on the Intelligence Schedule of Pubic Traffic Vehicles
- New search for: Cui, Yonghong
- New search for: Wang, Qingrong
- New search for: Cui, Yonghong
- New search for: Wang, Qingrong
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.
Document information
Optimization Algorithm on the Intelligence Schedule of Pubic Traffic Vehicles
Electrical Engineering and Control, EEIC, International Conference on Electric and Electronics, 2011 ; 845-851
2011
7 Seiten
Conference paper
English
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