Subpixel Mapping Method of Hyperspectral Images Based on Modified Binary Quantum Particle Swarm Optimization

Table 2

BPSO, BQPSO, and MBQPSO algorithm simulation results with five test functions.

Function	Number	Algorithm	Index parameter
			Average optimal value	Variance	Maximum value	Minimum value
	20	MBQPSO	78.6		78.6	78.6
		BQPSO	78.3	0.47	78.6	76.8
		BPSO	74.5	3.5	78.6	66.6
	40	MBQPSO	78.6		78.6	78.6
		BQPSO	78.6	0.11	78.6	78.2
		BPSO	76.9	2.6	77.7	67
	80	MBQPSO	78.6		78.6	78.6
		BQPSO	78.6			78.5
		BPSO	78.4	0.4	78.6	77
	20	MBQPSO	3905.9		3905.9	3905.9
		BQPSO	3885.3	37.2	3905.9	3735.2
		BPSO	3736.6	296.4	3900	2603.5
	40	MBQPSO	3905.9		3905.9	3905.9
		BQPSO	3902.1	11	3905.9	3860.1
		BPSO	3871.2	58.9	3900	3639.5
	80	MBQPSO	3905.9		3905.9	3905.9
		BQPSO	3904.8	4.56	3905.9	3885.5
		BPSO	3893.6	20.2	3905.9	3821.5
	20	MBQPSO	25	0	25	25
		BQPSO	23.1	1.119	25	21
		BPSO	19.6	1.932	22	15
	40	MBQPSO	25	0	25	25
		BQPSO	24	0.999	25	22
		BPSO	21.5	1.317	23	19
	80	MBQPSO	25	0	25	25
		BQPSO	24.8	0.44	25	24
		BPSO	22.3	1.129	25	21
	20	MBQPSO	1251.8	0.2	1252.3	1251.6
		BQPSO	1046.7	36.7	1119.3	968.9
		BPSO	734.45	43.131	818.7	661.39
	40	MBQPSO	1251.8	0.2	1252.3	1251.5
		BQPSO	1114.4	32.6	1157.5	1039.5
		BPSO	804.1	35.847	881.3	722.36
	80	MBQPSO	1252	0.3	1252.7	1251.7
		BQPSO	1149.2	31	1190.9	1082.3
		BPSO	882.8	42.979	961.7	809.75
	20	MBQPSO	499.9	0	499.9	499.9
		BQPSO	499.9		499.9	499.9
		BPSO	499.9		499.9	499.9
	40	MBQPSO	499.9	0	499.9	499.9
		BQPSO	499.9	0	499.9	499.9
		BPSO	499.9		499.9	499.9
	80	MBQPSO	499.9	0	499.9	499.9
		BQPSO	499.9	0	499.9	499.9
		BPSO	499.9		499.9	499.9