Hybrid Genetic and Taboo Search Algorithm for Solving the Bus Timetable Problem
Hybrid Genetic and Taboo Search Algorithm for Solving the Bus Timetable Problem
The non-uniform bus timetable is presented, and then the optimization model is formulated. The Genetic Algorithm (GA) and Taboo Search (TS) algorithm are analyzed and combined to become hybrid Genetic Algorithms, namely GATS. The GATS is used to solve the bus timetable model and the non-uniform bus timetable is obtained. The final results of the simulation indicate GATS has higher efficiency than simple GA and is one effective way to solve the bus timetable. Simultaneously, it is proved that the non-uniform bus timetable can reduce the passengers' waiting time and meet the passengers' need and also could improve agency efficiency.
Dokumentinformationen
Hybrid Genetic and Taboo Search Algorithm for Solving the Bus Timetable Problem
Ninth International Conference of Chinese Transportation Professionals (ICCTP) ; 2009 ; Harbin, China
ICCTP 2009 ; 1-6
2009-07-23
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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