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

Table 4

Effect of crossover and mutation rates for data set data_07092.

GA parameters		Objective function value in different generations
		1000	2000	3000	4000	5000
0.9	0.01	140	80	10	10	10
	0.05	270	200	200	200	200
	0.1	200	200	200	200	200
	0.2	0	0	0	0	0
	0.3	470	400	400	400	400
0.8	0.01	690	400	400	400	400
	0.05	0	0	0	0	0
	0.1	200	200	200	200	200
	0.2	210	210	200	200	200
	0.3	0	0	0	0	0
0.7	0.01	690	0	0	0	0
	0.05	290	0	0	0	0
	0.1	0	0	0	0	0
	0.2	70	70	70	70	70
	0.3	80	80	80	80	80
0.6	0.01	1260	610	300	200	200
	0.05	200	200	200	200	200
	0.1	120	0	0	0	0
	0.2	0	0	0	0	0
	0.3	270	200	0	0	0
0.5	0.01	920	30	0	0	0
	0.05	210	200	200	200	200
	0.1	200	200	200	200	200
	0.2	140	70	0	0	0
	0.3	280	210	210	210	210