A MultiObjective Optimization Approach for Integrated Timetabling and Vehicle Scheduling with Uncertainty

Table 4

Framework and steps of method G (s).

Method	G (s)
1	Initialize population set
2	For
3	Select a pair of parent chromosomes Ti, Tj from using roulette wheel
4	Create a new chromosome using crossover and mutation operators based on parent chromosomes
5	If satisfy the headway constraints, go to step 6; otherwise, go to step 3
6	Add to the population set as
7	End for
8	Return the headway vector set