A Novel Memetic Algorithm Based on Decomposition for Multiobjective Flexible Job Shop Scheduling Problem

Table 4

Comparison of three different aggregation functions on average C value over 10 independent runs for all 15 problems.

Instance	MOMAD(A) versus MOMAD-WS(B)		MOMAD(A) versus MOMAD-PBI(C)
	ka	0.0000	0.0000	0.0000	0.0000
ka	0.0250	0.0000	0.0983	0.0333
ka	0.1000	0.0000	0.1167	0.0333
ka	0.0583	0.0667	0.0250	0.0333
ka	0.3167	0.2000	0.2500	0.2500
MK01	0.2070	0.2221	0.4386	0.0373
MK02	0.2296	0.1261	0.6180	0.1143
MK03	0.2034	0.0453	0.5069	0.0121
MK04	0.1689	0.1868	0.3457	0.0704
MK05	0.1727	0.1300	0.5658	0.0174
MK06	0.5158	0.3765	0.3546	0.2746
MK07	0.3294	0.1690	0.5408	0.1346
MK08	0.0143	0.0000	0.3300	0.0000
MK09	0.5997	0.2937	0.5915	0.1200
MK10	0.5408	0.1637	0.2795	0.3700