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

Table 2

Effect of crossover and mutation rates for data set data_07091.

GA parameters		Objective function value in different generations
		1000	2000	3000	4000	5000
0.9	0.01	1340	400	280	200	200
	0.05	0	0	0	0	0
	0.1	90	0	0	0	0
	0.2	0	0	0	0	0
	0.3	110	0	0	0	0
0.8	0.01	770	200	200	150	0
	0.05	200	0	0	0	0
	0.1	30	0	0	0	0
	0.2	0	0	0	0	0
	0.3	0	0	0	0	0
0.7	0.01	900	500	500	230	230
	0.05	0	0	0	0	0
	0.1	0	0	0	0	0
	0.2	600	600	600	600	600
	0.3	0	0	0	0	0
0.6	0.01	800	290	30	0	0
	0.05	400	400	200	200	200
	0.1	270	200	200	200	200
	0.2	270	0	0	0	0
	0.3	210	200	200	200	200
0.5	0.01	1750	1220	780	330	330
	0.05	250	250	200	200	0
	0.1	0	0	0	0	0
	0.2	0	0	0	0	0
	0.3	110	0	0	0	0