Soft Computing Methodology to Optimize the Integrated Dynamic Models of Cellular Manufacturing Systems in a Robust Environment

Table 2

Tuning of metaheuristics.

Metaheuristic	Parameters	Levels			Tuned value
		−1	0	+1
GA	Population size	100	150	200	200
	Maximum number of iterations	300	500	700	500
	Rate of mutation	0.05	0.15	0.25	0.15
	Rate of crossover	0.6	0.7	0.8	0.8
KA	Population size	100	150	200	100
	Maximum number of iterations	300	500	700	300
	Percentage of N1	0.1	0.2	0.3	0.1
	Percentage of N2	0.4	0.5	0.6	0.6
	Maximum number of swirlings	5	10	15	10
RDA	Population size	100	150	200	150
	Maximum number of iterations	300	500	700	700
	Number of males	15	25	30	25
	Alpha	0.5	0.6	0.7	0.6
	Beta	0.7	0.8	0.9	0.7
	Gamma	0.8	0.9	1	0.8
H-RDKGA	Population size	100	150	200	150
	Maximum number of iterations	300	500	700	500
	Number of males	15	25	30	30
	Maximum number of swirlings	5	10	15	15