A Two-Dimensional Genetic Algorithm and Its Application to Aircraft Scheduling Problem

Table 3

Effect of crossover and mutation rates for data set data_08181.

GA parameters		Objective function value in different generations
		1000	2000	3000	4000	5000
0.9	0.01	70	50	50	50	50
	0.05	40	40	40	40	40
	0.1	250	250	250	250	250
	0.2	60	60	60	60	60
	0.3	390	390	390	390	390
0.8	0.01	600	440	240	40	40
	0.05	50	40	40	40	40
	0.1	90	90	90	80	80
	0.2	90	90	90	90	80
	0.3	160	60	60	60	60
0.7	0.01	1070	570	50	50	50
	0.05	260	260	260	260	60
	0.1	60	50	50	50	50
	0.2	290	280	260	250	250
	0.3	60	60	60	60	60
0.6	0.01	1470	320	250	250	250
	0.05	60	50	50	50	50
	0.1	260	260	260	260	250
	0.2	40	40	40	40	40
	0.3	110	110	100	100	100
0.5	0.01	1320	790	690	690	690
	0.05	50	50	40	40	40
	0.1	50	50	50	50	50
	0.2	340	260	260	260	260
	0.3	330	80	80	50	50