Pages that link to "Item:Q1652109"
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The following pages link to Variable and adaptive neighbourhood search algorithms for rail rapid transit timetabling problem (Q1652109):
Displaying 14 items.
- An adaptive neighborhood search metaheuristic for the integrated railway rapid transit network design and line planning problem (Q1652047) (← links)
- A variable neighbourhood search for fast train scheduling and routing during disturbed railway traffic situations (Q1652116) (← links)
- Integrated rolling stock deadhead routing and timetabling in urban rail transit lines (Q2076825) (← links)
- Vehicle dispatching plan for minimizing passenger waiting time in a corridor with buses of different sizes: model formulation and solution approaches (Q2077989) (← links)
- Integrated optimization of train timetable, rolling stock assignment and short-turning strategy for a metro line (Q2140268) (← links)
- Timetable coordination in a rail transit network with time-dependent passenger demand (Q2239858) (← links)
- Exact formulations and algorithm for the train timetabling problem with dynamic demand (Q2257347) (← links)
- Train timetabling for an urban rail transit line using a Lagrangian relaxation approach (Q2281738) (← links)
- Variable neighborhood search for integrated timetable based design of railway infrastructure (Q2631246) (← links)
- Scheduling local and express trains in suburban rail transit lines: mixed-integer nonlinear programming and adaptive genetic algorithm (Q2669536) (← links)
- Transfer-oriented dispatching optimization of rail transit network (Q3132116) (← links)
- An efficient heuristic method for joint optimization of train scheduling and stop planning on double-track railway systems (Q5882416) (← links)
- Collaborative optimization of last-train timetables for metro network to increase service time for passengers (Q6109301) (← links)
- Energy-saving time allocation strategy with uncertain dwell times in urban rail transit: two-stage stochastic model and nested dynamic programming framework (Q6572851) (← links)
