A FJSSP Method Based on Dynamic Multi-Objective Squirrel Search Algorithm

Table 2

Tasks to be processed at t = 0.

Job number	Process number	Machine number and corresponding processing time of each process
		1	2	3	4	5	6
1	1	1.5278	0.5901	1.1614	0.7246	0.4811	0.4691
1	2	0.3956	0.4539	1.0810	1.0675	0.6425	0.5351
1	3	0.5129	0.6446	0.3990	—	0.3562	—
2	1	0.3668	0.1866	3.7728	0.5068	1.4320	1.0902
2	2	1.2446	0.6315	—	0.2521	—	0.2403
2	3	0.4178	0.6454	—	0.5130	0.4797	0.1741
3	1	1.0332	0.4689	1.0538	0.5362	0.5307	1.0737
3	2	1.4766	0.6708	0.6258	0.5990	3.4804	—
3	3	—	0.5051	0.5074	0.4874	0.4436	1.9361
3	4	0.5011	3.0418	0.3736	—	0.5299	1.4914
3	5	0.5034	1.0831	0.4777	0.3409	—	—
4	1	—	—	0.6324	2.4931	0.6410	0.4427
4	2	0.4982	0.5326	0.5844	0.0977	1.7782	1.0170
4	3	1.0407	0.3432	2.2131	2.3234	—	0.3157
4	4	0.4482	0.5209	2.5250	6.4491	—	0.6933
5	1	0.4508	—	0.4902	0.7867	0.4561	—
5	2	—	—	0.3664	—	0.6246	0.5435
5	3	—	0.4329	0.3010	—	0.7159	—
6	1	0.4204	0.5577	1.0348	2.8571	—	0.7716
6	2	1.7587	1.5530	0.6008	—	0.7694	—
6	3	0.5188	0.3955	—	0.6630	2.4961	1.07434
6	4	1.5050	1.6941	0.6725	—	0.7614	0.5686
7	1	2.5187	3.7462	0.2872	0.4990	—	0.5650
7	2	3.7646	—	1.7037	—	0.7952	3.1828
7	3	1.0688	0.3720	0.6191	—	—	0.2297
8	1	0.6037	0.4592	—	1.0678	0.7454	0.4188
8	2	0.4884	0.4996	0.4361	—	1.8487	0.4254
8	3	0.4996	0.4550	—	—	0.1078	3.6344
8	4	0.3247	0.5305	—	0.6690	—	0.3700
9	1	0.5065	0.5234	0.7427	—	2.3589	0.3925
9	2	0.4606	0.5201	0.2577	0.6951	0.5649	1.4906
9	3	1.1232	—	0.5104	1.3293	1.0829	0.3600
9	4	—	—	—	1.8475	2.4910	0.7087
10	1	1.0394	—	0.5291	0.4944	0.3455	—
10	2	0.5875	—	0.4925	0.5101	—	0.7072
10	3	—	—	0.3822	3.9409	0.3874	0.5002
10	4	0.6164	0.2521	0.6785	—	—	—
10	5	2.9608	0.4550	0.6386	0.4971	2.3437	2.0466
10	6	0.4888	—	0.4568	2.4233	1.7440	0.6625