A Genetic Algorithm for a Two-Machine Flowshop with a Limited Waiting Time Constraint and Sequence-Dependent Setup Times

Table 3

ANOVA for the effect of GA parameters on the performance.

Sources	Sum. squares	DF	MS	F	p-value
Corrected model	157.103	863	0.182	3.329	≤0.001
Intercept	29023.089	1	29023.089	530673.217	≤0.001
	1.629	2	0.815	14.897	≤0.001
	23.043	5	4.609	84.267	≤0.001
	40.992	3	13.664	249.839	≤0.001
	23.989	3	7.996	146.206	≤0.001
	0.197	2	0.098	1.800	0.165
	1.070	10	0.107	1.957	0.034
	1.585	6	0.264	4.831	≤0.001
	1.922	6	0.320	5.859	≤0.001
	0.528	4	0.132	2.413	0.047
	12.065	15	0.804	14.707	≤0.001
	12.324	15	0.822	15.023	≤0.001
	0.752	10	0.075	1.375	0.185
	3.827	9	0.425	7.774	≤0.001
	0.355	6	0.059	1.083	0.370
	2.804	6	0.467	8.544	≤0.001
	1.502	30	0.050	0.916	0.599
	1.334	30	0.044	0.813	0.754
	0.845	20	0.042	0.773	0.750
	0.280	18	0.016	0.285	0.999
	0.454	12	0.038	0.692	0.761
	5.064	12	0.422	7.716	≤0.001
	4.008	45	0.089	1.628	0.005
	1.068	30	0.036	0.651	0.928
	0.914	30	0.030	0.557	0.976
	0.676	18	0.038	0.687	0.828
	2.371	90	0.026	0.482	1.000
	1.741	60	0.029	0.531	0.999
	1.798	60	0.030	0.548	0.998
	1.024	36	0.028	0.520	0.992
	2.236	90	0.025	0.454	1.000
	4.704	180	0.026	0.478	1.000
Error	8458.303	154656	0.055	—	—
Total	37638.495	155520	—	—	—
Corrected total	8615.406	155519	—	—	—

Significance level = 0.05.