Intelligent Warehouse Robot Scheduling System Using a Modified Nondominated Sorting Algorithm

Table 3

Experimental results of IGD on several DTLZs (mean and standard deviation).

Problem	M	NSGAII	IBEA	MBNSGAII
DTLZ1	2	2.2068e-3 (7.35e-5) -	7.9965e-2 (7.99e-3) -	2.0230e-3 (5.45e-5)
	3	2.8447e-2 (1.33e-3) -	1.6616e-1 (2.51e-2) -	2.2376e-2 (3.68e-4)
	5	1.7146e-1 (1.25e-1) -	1.8372e-1 (2.16e-2) -	5.1833e-2 (3.37e-4)
DTLZ2	2	5.0483e-3 (1.75e-4) +	1.6671e-2 (1.60e-3) -	8.5238e-3 (2.92e-4)
	3	7.3058e-2 (2.57e-3) =	8.4162e-2 (2.51e-3) -	7.3973e-2 (1.57e-3)
	5	2.0563e-1 (4.67e-3) -	1.9251e-1 (1.54e-3) -	1.7906e-1 (2.44e-3)
DTLZ3	2	7.1268e-3 (1.39e-3) +	3.3913e-1 (8.73e-3) -	9.8870e-3 (1.10e-3)
	3	1.4200e-1 (2.06e-1) =	4.7891e-1 (4.51e-3) -	7.8834e-2 (2.64e-3)
	5	7.5535e-1 (7.31e-1) -	5.9365e-1 (9.76e-3) -	1.8301e-1 (2.58e-3)
DTLZ4	2	1.5241e-1 (3.11e-1) -	4.5174e-1 (3.75e-1) -	8.1849e-2 (2.32e-1)
	3	1.5811e-1 (2.77e-1) +	8.2918e-2 (2.68e-3) =	2.6157e-1 (2.41e-1)
	5	2.0630e-1 (3.41e-3) -	2.1267e-1 (7.27e-2) -	1.8232e-1 (1.93e-3)