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

Table 4

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	7	8
1	1	—	0.6382	1.2681	1.0710	—	1.3042	0.8963	—
1	2	0.5019	0.8400	1.3880	1.0160	0.3989	0.8541	0.4708	0.3358
1	3	1.6475	—	0.8298	—	1.2152	0.2717	1.5794	1.5971
1	4	2.8928	1.4613	—	1.1014	0.9968	2.1039	—	—
1	5	1.1864	1.3696	1.2559	0.1734	—	—	—	—
1	6	1.2120	0.6545	0.6413	—	1.2581	1.0654	—	0.7189
2	1	0.6815	0.8164	0.9751	—	1.0529	2.3129	—	0.2768
2	2	0.4422	—	0.4240	—	1.5143	1.5095	2.0199	0.8215
2	3	2.7416	2.6740	—	1.7388	1.3254	0.0500	2.1685	0.3425
2	4	—	0.9891	2.0880	2.2006	0.4174	0.5254	1.9515	0.4033
2	5	2.3676	0.3323	0.7549	1.8217	0.1319	0.5349	1.8295	0.3132
3	1	2.0371	0.7917	1.5249	0.5102	1.7024	1.4674	0.5818	0.5744
3	2	2.1183	—	0.5471	0.9859	0.5768	1.0352	0.6740	1.9032
3	3	0.9638	0.6347	1.1081	0.9293	1.1082	1.4623	0.8659	0.4380
3	4	—	—	1.4176	0.2305	—	—	—	2.2456
4	1	2.0491	1.6558	—	1.0707	1.5561	0.3166	1.3802	0.7998
4	2	0.3704	0.7575	1.2038	—	—	0.5326	—	—
4	3	—	1.2657	—	—	0.8511	0.8744	2.9220	1.4142
4	4	1.3512	1.4050	0.4743	2.6791	2.8502	1.1182	2.9756	0.3806
4	5	0.9679	—	1.3229	1.2626	1.8965	0.4182	1.3583	0.5312
4	6	—	0.3225	1.9250	—	1.6030	0.9702	2.5834	—
5	1	0.4691	2.1852	0.7140	0.9937	1.2777	2.7375	3.0324	0.4996
5	2	2.9772	—	1.8705	—	—	—	—	1.1175
5	3	—	1.8562	0.1373	1.0024	0.7281	—	—	0.8232
5	4	1.3402	0.6634	0.0999	0.6004	0.2650	—	—	—
5	5	0.9894	1.9170	2.1850	2.9171	—	0.3045	0.5929	0.3364
5	6	0.6517	0.7840	—	0.2839	0.9946	0.2948	—	0.4172
6	1	1.1747	—	—	—	—	0.2649	0.7974	1.7007
6	2	1.0199	0.6806	0.4107	1.6766	—	0.7231	1.2838	2.3242
6	3	—	—	—	1.6511	0.5025	—	—	1.3843
6	4	0.2826	—	—	1.8508	—	—	0.5031	—
7	1	0.8562	0.4408	1.2425	—	—	0.9039	1.7611	2.9910
7	2	0.5652	0.8330	1.2936	0.6021	—	0.9480	1.9891	2.9164
7	3	—	0.5842	1.4921	—	0.5617	—	0.6148	—
7	4	—	—	0.7785	—	0.6716	1.6041	1.9949	0.0982
7	5	—	0.5235	1.4898	—	1.3141	0.0204	—	—
8	1	—	0.5735	—	—	0.1725	—	1.3313	0.4930
8	2	0.3275	—	—	—	0.9262	—	—	0.6194
8	3	—	2.2066	0.8222	0.9665	0.6131	0.2283	1.1873	1.7934
8	4	0.5493	0.6385	0.5536	—	0.6374	0.5601	1.1408	—
8	5	0.9098	—	—	—	1.4946	0.6431	—	0.7129
8	6	1.6085	3.3016	3.1581	0.3536	1.1893	0.4541	0.3692	—
9	1	1.5629	0.3463	1.0989	1.6513	—	—	—	—
9	2	0.2841	0.7069	2.4057	1.3018	1.1407	0.4920	1.9512	2.9612
9	3	0.0736	—	1.7815	1.3833	0.1368	1.5720	2.1434	0.4936
9	4	—	1.6847	3.0446	—	—	3.0226	0.5515	—
9	5	0.4957	1.7989	—	1.2870	0.4484	2.8027	—	0.0536
10	1	0.4631	2.9016	—	0.8857	0.1663	—	—	—
10	2	0.1600	—	1.0278	—	0.4837	—	—	—
10	3	—	2.0967	1.3427	—	—	0.3534	0.1632	1.3010
10	4	0.5864	1.3044	2.0412	0.6325	1.8661	0.4146	—	—
10	5	1.8594	0.5863	0.6037	0.2186	0.6127	0.1225	3.1598	—
10	6	2.2898	1.4587	—	0.1752	0.4326	0.3804	1.9046	0.9512