Synchronous Optimization for Demand-Driven Train Operation Plan in Rail Transit Network Using Nondominated Sorting Coevolutionary Memetic Algorithm

Table 3

Parameters of the heuristic algorithms.

Parameter	Description	Value
	The number of generations for final termination	10000
	The number of generations for early termination	50
	The number of generations for operator scoring	50
	The size of population	50 (SS), 20 (AS)
	The representative weights of passengers’ total time	{0.05, 0.072, 0.1037, 0.1493, 0.215, 0.3096}
	The initial probability of crossover operation	0.5
	The initial probability of each crossover operator	0.5
	The initial probability of each mutation operator	0.0625
	The tolerance factor of reference point	0.03
	The trains’ total cost of benchmark individual (CNY)	447552
	The passengers’ total time of benchmark individual (min)	3163228.25