Jobshop Instances



Updated with results from [26] (2015-08-10)
Updated with results from [61] (2015-08-09)
Instance Jobs Machines Lower bound LB reference Upper bound UB reference Number of solutions found
Adams, Balas and Zawack [3] download
abz5 10 10
1234
[4] (1991)
1234
[4] (1991)
480
abz6 10 10
943
[4] (1991)
943
[3] (1988)
2159
abz7 20 15
656
[33] (1996)
656
[33] (1996)
0
abz8 20 15
648
[61] (2015)
665
[33] (1996)
0
abz9 20 15
678
[29] (2010)
678
[65] (2008)
0
Demirkol, Mehta, and Uzsoy [17] download
dmu01 20 15
2501
[9] (2001)
2563
[25] (2002)
0
dmu02 20 15
2651
[9] (2001)
2706
[25] (2002)
0
dmu03 20 15
2731
[9] (2001)
2731
[9] (2001)
0
dmu04 20 15
2601
[9] (2001)
2669
[9] (2001)
0
dmu05 20 15
2749
[9] (2001)
2749
[9] (2001)
0
dmu06 20 20
3042
[26] (2016)
3244
[44] (2010)
0
dmu07 20 20
2828
[26] (2016)
3046
[44] (2010)
0
dmu08 20 20
3051
[22] (2011)
3188
[44] (2010)
0
dmu09 20 20
2956
[22] (2011)
3092
[25] (2002)
0
dmu10 20 20
2858
[22] (2011)
2984
[43] (2006)
0
dmu11 30 15
3395
[16] (1996)
3430
[46] (2015)
0
dmu12 30 15
3481
[16] (1996)
3495
[46] (2015)
0
dmu13 30 15
3681
[16] (1996)
3681
[64] (2007)
0
dmu14 30 15
3394
[16] (1996)
3394
[38] (2001)
0
dmu15 30 15
3343
[22] (2011)
3343
[27] (1998)
0
dmu16 30 20
3734
[22] (2011)
3751
[23] (2014)
0
dmu17 30 20
3709
[22] (2011)
3814
[49] (2013)
0
dmu18 30 20
3844
[16] (1996)
3844
[23] (2014)
0
dmu19 30 20
3672
[26] (2016)
3768
[46] (2015)
0
dmu20 30 20
3604
[16] (1996)
3710
[46] (2015)
0
dmu21 40 15
4380
[16] (1996)
4380
[27] (1998)
0
dmu22 40 15
4725
[16] (1996)
4725
[27] (1998)
0
dmu23 40 15
4668
[16] (1996)
4668
[27] (1998)
0
dmu24 40 15
4648
[16] (1996)
4648
[27] (1998)
0
dmu25 40 15
4164
[16] (1996)
4164
[27] (1998)
0
dmu26 40 20
4647
[16] (1996)
4647
[64] (2007)
0
dmu27 40 20
4848
[16] (1996)
4848
[38] (2001)
0
dmu28 40 20
4692
[16] (1996)
4692
[27] (1998)
0
dmu29 40 20
4691
[16] (1996)
4691
[38] (2001)
0
dmu30 40 20
4732
[16] (1996)
4732
[38] (2001)
0
dmu31 50 15
5640
[16] (1996)
5640
[27] (1998)
0
dmu32 50 15
5927
[16] (1996)
5927
[16] (1996)
1
dmu33 50 15
5728
[16] (1996)
5728
[16] (1996)
1
dmu34 50 15
5385
[16] (1996)
5385
[16] (1996)
0
dmu35 50 15
5635
[16] (1996)
5635
[16] (1996)
1
dmu36 50 20
5621
[16] (1996)
5621
[27] (1998)
0
dmu37 50 20
5851
[16] (1996)
5851
[27] (1998)
0
dmu38 50 20
5713
[16] (1996)
5713
[27] (1998)
0
dmu39 50 20
5747
[16] (1996)
5747
[27] (1998)
0
dmu40 50 20
5577
[16] (1996)
5577
[27] (1998)
0
dmu41 20 15
3007
[22] (2011)
3248
[46] (2015)
0
dmu42 20 15
3224
[26] (2016)
3390
[46] (2015)
0
dmu43 20 15
3292
[22] (2011)
3441
[49] (2013)
0
dmu44 20 15
3299
[26] (2016)
3488
[23] (2014)
0
dmu45 20 15
3039
[26] (2016)
3272
[49] (2013)
0
dmu46 20 20
3575
[22] (2011)
4035
[49] (2013)
0
dmu47 20 20
3522
[22] (2011)
3939
[23] (2014)
0
dmu48 20 20
3447
[22] (2011)
3763
[49] (2013)
0
dmu49 20 20
3403
[22] (2011)
3710
[46] (2015)
0
dmu50 20 20
3496
[22] (2011)
3729
[46] (2015)
0
dmu51 30 15
3954
[26] (2016)
4167
[46] (2015)
0
dmu52 30 15
4094
[26] (2016)
4311
[46] (2015)
0
dmu53 30 15
4141
[22] (2011)
4394
[46] (2015)
0
dmu54 30 15
4202
[22] (2011)
4362
[49] (2013)
0
dmu55 30 15
4146
[26] (2016)
4271
[46] (2015)
0
dmu56 30 20
4554
[22] (2011)
4941
[46] (2015)
0
dmu57 30 20
4302
[22] (2011)
4655
[49] (2013)
0
dmu58 30 20
4319
[22] (2011)
4708
[46] (2015)
0
dmu59 30 20
4219
[26] (2016)
4624
[46] (2015)
0
dmu60 30 20
4319
[22] (2011)
4755
[46] (2015)
0
dmu61 40 15
4917
[22] (2011)
5172
[49] (2013)
0
dmu62 40 15
5041
[26] (2016)
5265
[49] (2013)
0
dmu63 40 15
5111
[22] (2011)
5326
[46] (2015)
0
dmu64 40 15
5130
[16] (1996)
5250
[49] (2013)
0
dmu65 40 15
5107
[26] (2016)
5190
[49] (2013)
0
dmu66 40 20
5397
[26] (2016)
5717
[46] (2015)
0
dmu67 40 20
5589
[22] (2011)
5813
[49] (2013)
0
dmu68 40 20
5426
[22] (2011)
5773
[46] (2015)
0
dmu69 40 20
5423
[22] (2011)
5709
[46] (2015)
0
dmu70 40 20
5501
[22] (2011)
5889
[49] (2013)
0
dmu71 50 15
6080
[22] (2011)
6233
[46] (2015)
0
dmu72 50 15
6395
[22] (2011)
6483
[46] (2015)
0
dmu73 50 15
6001
[22] (2011)
6163
[46] (2015)
0
dmu74 50 15
6123
[22] (2011)
6220
[49] (2013)
0
dmu75 50 15
6029
[22] (2011)
6197
[46] (2015)
0
dmu76 50 20
6342
[22] (2011)
6813
[46] (2015)
0
dmu77 50 20
6499
[22] (2011)
6822
[46] (2015)
0
dmu78 50 20
6586
[22] (2011)
6770
[46] (2015)
0
dmu79 50 20
6650
[22] (2011)
6970
[46] (2015)
0
dmu80 50 20
6459
[22] (2011)
6686
[46] (2015)
0
Fisher and Thompson [18] download
ft06 6 6
55
[20] (1971)
55
[20] (1971)
53
ft10 10 10
930
[11] (1986)
930
[31] (1984)
13120
ft20 20 5
1165
[35] (1975)
1165
[35] (1975)
3
Lawrence [32] download
la01 10 5
666
[3] (1988)
666
[3] (1988)
278505
la02 10 5
655
[3] (1988)
655
[34] (1988)
66989
la03 10 5
597
[4] (1991)
597
[34] (1988)
720
la04 10 5
590
[4] (1991)
590
[34] (1988)
83284
la05 10 5
593
[3] (1988)
593
[3] (1988)
692
la06 15 5
926
[3] (1988)
926
[3] (1988)
6
la07 15 5
890
[3] (1988)
890
[3] (1988)
6
la08 15 5
863
[3] (1988)
863
[3] (1988)
6
la09 15 5
951
[3] (1988)
951
[3] (1988)
9
la10 15 5
958
[3] (1988)
958
[34] (1988)
9
la11 20 5
1222
[3] (1988)
1222
[3] (1988)
6
la12 20 5
1039
[3] (1988)
1039
[3] (1988)
6
la13 20 5
1150
[3] (1988)
1150
[3] (1988)
7
la14 20 5
1292
[3] (1988)
1292
[3] (1988)
7
la15 20 5
1207
[3] (1988)
1207
[3] (1988)
6
la16 10 10
945
[13] (1990)
945
[13] (1990)
189632
la17 10 10
784
[13] (1990)
784
[34] (1988)
833178
la18 10 10
848
[4] (1991)
848
[34] (1988)
42158
la19 10 10
842
[4] (1991)
842
[34] (1988)
960
la20 10 10
902
[4] (1991)
902
[4] (1991)
14016
la21 15 10
1046
[57] (1996)
1046
[57] (1996)
0
la22 15 10
927
[4] (1991)
927
[34] (1988)
0
la23 15 10
1032
[3] (1988)
1032
[3] (1988)
1
la24 15 10
935
[4] (1991)
935
[4] (1991)
0
la25 15 10
977
[4] (1991)
977
[4] (1991)
0
la26 20 10
1218
[3] (1988)
1218
[34] (1988)
1
la27 20 10
1235
[3] (1988)
1235
[14] (1994)
0
la28 20 10
1216
[3] (1988)
1216
[4] (1991)
1
la29 20 10
1152
[33] (1996)
1152
[33] (1996)
0
la30 20 10
1355
[3] (1988)
1355
[3] (1988)
1
la31 30 10
1784
[3] (1988)
1784
[3] (1988)
3
la32 30 10
1850
[3] (1988)
1850
[3] (1988)
4
la33 30 10
1719
[3] (1988)
1719
[3] (1988)
4
la34 30 10
1721
[3] (1988)
1721
[3] (1988)
3
la35 30 10
1888
[3] (1988)
1888
[3] (1988)
4
la36 15 15
1268
[13] (1990)
1268
[13] (1990)
0
la37 15 15
1397
[4] (1991)
1397
[4] (1991)
0
la38 15 15
1196
[57] (1996)
1196
[42] (1996)
0
la39 15 15
1233
[4] (1991)
1233
[4] (1991)
0
la40 15 15
1222
[4] (1991)
1222
[4] (1991)
0
Applegate and Cook [4] download
orb01 10 10
1059
[4] (1991)
1059
[4] (1991)
9120
orb02 10 10
888
[4] (1991)
888
[4] (1991)
504
orb03 10 10
1005
[4] (1991)
1005
[4] (1991)
248
orb04 10 10
1005
[4] (1991)
1005
[4] (1991)
96
orb05 10 10
887
[4] (1991)
887
[4] (1991)
288
orb06 10 10
1010
[55] (1994)
1010
[55] (1994)
32
orb07 10 10
397
[55] (1994)
397
[55] (1994)
162
orb08 10 10
899
[55] (1994)
899
[55] (1994)
373020
orb09 10 10
934
[55] (1994)
934
[55] (1994)
108270
orb10 10 10
944
[55] (1994)
944
[55] (1994)
15951
Storer, Wu and Vaccari [51] download
swv01 20 10
1407
[33] (1996)
1407
[33] (1996)
0
swv02 20 10
1475
[33] (1996)
1475
[33] (1996)
0
swv03 20 10
1398
[9] (2001)
1398
[58] (1996)
0
swv04 20 10
1464
[61] (2015)
1464
[61] (2015)
0
swv05 20 10
1424
[33] (1996)
1424
[33] (1996)
0
swv06 20 15
1630
[61] (2015)
1671
[46] (2015)
0
swv07 20 15
1513
[61] (2015)
1594
[36] (2009)
0
swv08 20 15
1671
[61] (2015)
1752
[15] (2013)
0
swv09 20 15
1633
[61] (2015)
1655
[36] (2009)
0
swv10 20 15
1663
[61] (2015)
1743
[23] (2014)
0
swv11 50 10
2983
[58] (1996)
2983
[41] (2005)
0
swv12 50 10
2972
[58] (1996)
2977
[46] (2015)
0
swv13 50 10
3104
[58] (1996)
3104
[54] (1997)
0
swv14 50 10
2968
[6] (1994)
2968
[6] (1994)
0
swv15 50 10
2885
[58] (1996)
2885
[46] (2015)
0
swv16 50 10
2924
[51] (1992)
2924
[51] (1992)
5
swv17 50 10
2794
[51] (1992)
2794
[51] (1992)
6
swv18 50 10
2852
[51] (1992)
2852
[51] (1992)
4
swv19 50 10
2843
[51] (1992)
2843
[51] (1992)
3
swv20 50 10
2823
[51] (1992)
2823
[51] (1992)
3
Taillard [52] download
ta01 15 15
1231
[52] (1993)
1231
[52] (1993)
1
ta02 15 15
1244
[56] (1995)
1244
[42] (1996)
0
ta03 15 15
1218
[9] (2001)
1218
[6] (1994)
0
ta04 15 15
1175
[9] (2001)
1175
[62] (1995)
0
ta05 15 15
1224
[9] (2001)
1224
[9] (2001)
0
ta06 15 15
1238
[9] (2001)
1238
[9] (2001)
0
ta07 15 15
1227
[9] (2001)
1227
[9] (2001)
0
ta08 15 15
1217
[9] (2001)
1217
[6] (1994)
0
ta09 15 15
1274
[9] (2001)
1274
[6] (1994)
0
ta10 15 15
1241
[56] (1995)
1241
[6] (1994)
0
ta11 20 15
1357
[61] (2015)
1357
[43] (2006)
0
ta12 20 15
1367
[61] (2015)
1367
[6] (1994)
0
ta13 20 15
1342
[61] (2015)
1342
[25] (2002)
0
ta14 20 15
1345
[56] (1995)
1345
[42] (1996)
0
ta15 20 15
1339
[61] (2015)
1339
[43] (2006)
0
ta16 20 15
1360
[61] (2015)
1360
[24] (2000)
0
ta17 20 15
1462
[47] (2000)
1462
[40] (2002)
0
ta18 20 15
1377
[61] (2015)
1396
[6] (1994)
0
ta19 20 15
1332
[61] (2015)
1332
[43] (2006)
0
ta20 20 15
1348
[61] (2015)
1348
[43] (2006)
0
ta21 20 20
1642
[61] (2015)
1642
[8] (2011)
0
ta22 20 20
1561
[61] (2015)
1600
[39] (2001)
0
ta23 20 20
1518
[61] (2015)
1557
[39] (2001)
0
ta24 20 20
1644
[61] (2015)
1644
[8] (2011)
0
ta25 20 20
1558
[61] (2015)
1595
[40] (2002)
0
ta26 20 20
1591
[61] (2015)
1643
[8] (2011)
0
ta27 20 20
1652
[61] (2015)
1680
[39] (2001)
0
ta28 20 20
1603
[61] (2015)
1603
[65] (2008)
0
ta29 20 20
1573
[61] (2015)
1625
[1] (1996)
0
ta30 20 20
1519
[61] (2015)
1584
[39] (2001)
0
ta31 30 15
1764
[52] (1993)
1764
[2] (1999)
0
ta32 30 15
1774
[52] (1993)
1784
[45] (2010)
0
ta33 30 15
1788
[61] (2015)
1791
[44] (2010)
0
ta34 30 15
1828
[52] (1993)
1829
[39] (2001)
0
ta35 30 15
2007
[56] (1995)
2007
[52] (1993)
0
ta36 30 15
1819
[56] (1995)
1819
[2] (1999)
0
ta37 30 15
1771
[52] (1993)
1771
[46] (2015)
0
ta38 30 15
1673
[52] (1993)
1673
[24] (2000)
0
ta39 30 15
1795
[56] (1995)
1795
[2] (1999)
0
ta40 30 15
1651
[61] (2015)
1669
[23] (2014)
0
ta41 30 20
1906
[61] (2015)
2005
[37] (2013)
0
ta42 30 20
1884
[61] (2015)
1937
[23] (2014)
0
ta43 30 20
1809
[56] (1995)
1846
[41] (2005)
0
ta44 30 20
1948
[61] (2015)
1979
[37] (2013)
0
ta45 30 20
1997
[56] (1995)
2000
[39] (2001)
0
ta46 30 20
1957
[61] (2015)
2004
[23] (2014)
0
ta47 30 20
1807
[61] (2015)
1889
[41] (2005)
0
ta48 30 20
1912
[56] (1995)
1941
[49] (2013)
0
ta49 30 20
1931
[61] (2015)
1961
[37] (2013)
0
ta50 30 20
1833
[61] (2015)
1923
[49] (2013)
0
ta51 50 15
2760
[52] (1993)
2760
[52] (1993)
0
ta52 50 15
2756
[52] (1993)
2756
[52] (1993)
0
ta53 50 15
2717
[52] (1993)
2717
[52] (1993)
0
ta54 50 15
2839
[52] (1993)
2839
[52] (1993)
0
ta55 50 15
2679
[52] (1993)
2679
[42] (1996)
0
ta56 50 15
2781
[52] (1993)
2781
[52] (1993)
0
ta57 50 15
2943
[52] (1993)
2943
[52] (1993)
0
ta58 50 15
2885
[52] (1993)
2885
[52] (1993)
0
ta59 50 15
2655
[52] (1993)
2655
[52] (1993)
0
ta60 50 15
2723
[52] (1993)
2723
[52] (1993)
0
ta61 50 20
2868
[52] (1993)
2868
[42] (1996)
0
ta62 50 20
2869
[56] (1995)
2869
[10] (2003)
0
ta63 50 20
2755
[52] (1993)
2755
[42] (1996)
0
ta64 50 20
2702
[6] (1994)
2702
[42] (1996)
0
ta65 50 20
2725
[52] (1993)
2725
[42] (1996)
0
ta66 50 20
2845
[52] (1993)
2845
[42] (1996)
0
ta67 50 20
2825
[56] (1995)
2825
[27] (1998)
0
ta68 50 20
2784
[6] (1994)
2784
[42] (1996)
0
ta69 50 20
3071
[52] (1993)
3071
[42] (1996)
0
ta70 50 20
2995
[52] (1993)
2995
[42] (1996)
0
ta71 100 20
5464
[52] (1993)
5464
[52] (1993)
0
ta72 100 20
5181
[52] (1993)
5181
[52] (1993)
0
ta73 100 20
5568
[52] (1993)
5568
[52] (1993)
0
ta74 100 20
5339
[52] (1993)
5339
[52] (1993)
0
ta75 100 20
5392
[52] (1993)
5392
[52] (1993)
0
ta76 100 20
5342
[52] (1993)
5342
[52] (1993)
0
ta77 100 20
5436
[52] (1993)
5436
[52] (1993)
0
ta78 100 20
5394
[52] (1993)
5394
[52] (1993)
0
ta79 100 20
5358
[52] (1993)
5358
[52] (1993)
0
ta80 100 20
5183
[52] (1993)
5183
[42] (1996)
0
Yamada and Nakano [63] download
yn01 20 20
884
[29] (2010)
884
[65] (2008)
0
yn02 20 20
870
[9] (2001)
904
[23] (2014)
0
yn03 20 20
859
[61] (2015)
892
[41] (2005)
0
yn04 20 20
929
[61] (2015)
968
[54] (1997)
0




References



[1] E. Aarts. (1996) [see 53].
[2] E. Aarts, H. ten Eikelder, J. K. Lenstra and R. Schilham. (1999) [see 53].
[3] J. Adams, E. Balas, and D. Zawack. The shifting bottleneck procedure for job shop scheduling.
Management Science, 34.3: 391-401, 1988.
doi: 10.1287/mnsc.34.3.391 jstor: 2632051
[4] D. Applegate and W. Cook. A computational study of job-shop scheduling.
ORSA Journal of Computing, 3.2: 149-156, 1991.
doi: 10.1287/ijoc.3.2.149
[5] Egon Balas. Machine Sequencing via Disjunctive Graphs: An Implicit Enumeration Algorithm.
Operations Research, 17.6: 941-957, 1969.
doi: 10.1287/opre.17.6.941 jstor: 168317
[6] Egon Balas and Alkis Vazacopoulos. Guided Local Search with Shifting Bottleneck for Job Shop Scheduling.
Management Science Research Report 609. Carnegie Mellon University, 1994.
[7] J. E. Beasley. OR-Library (jobshop1.txt).
url: http://people.brunel.ac.uk/~mastjjb/jeb/orlib/files/jobshop1.txt
[8] J. Christopher Beck, T. K. Feng, and Jean-Paul Watson. Combining Constraint Programming and Local Search for Job-Shop Scheduling.
INFORMS Journal on Computing, 23.1: 1-14, 2011.
doi: 10.1287/ijoc.1100.0388
[9] Wolfgang Brinkkötter and Peter Brucker. Solving open benchmark instances for the job-shop problem by parallel head-tail adjustments.
Solving open benchmark instances for the job-shop problem by parallel head-tail adjustments, 4.1: 53-64, 2001.
doi: 10.1002/1099-1425(200101/02)4:1<53::AID-JOS59>3.0.CO;2-Y
[10] J. P. Caldeira. (2003) [see 53].
[11] J. Carlier and E. Pinson. [12] achieved in 1986 [see 3].
[12] J. Carlier and E. Pinson. An Algorithm for Solving the Job-shop Problem.
Management Science, 35.2: 164-176, 1989.
doi: 10.1287/mnsc.35.2.164 jstor: 2631909
[13] J. Carlier and E. Pinson. A Practical Use of Jackson's Preemptive Schedule for Solving the Job Shop Problem.
Annals of Operations Research, 26: 269-287, 1990.
[14] J. Carlier and E. Pinson. Adjustment of heads and tails for the job-shop problem.
European Journal of Operational Research, 78.2: 146-161, 1994.
doi: 10.1016/0377-2217(94)90379-4
[15] T. C. E. Cheng, Bo Peng, and Zhipeng Lü. A hybrid evolutionary algorithm to solve the job shop scheduling problem.
Annals of Operations Research: 1-15, 2013.
doi: 10.1007/s10479-013-1332-5
[16] Ebru Demirkol, Sanjay V. Mehta, and Reha Uzsoy. Benchmarking for Shop Scheduling Problems.
Research memorandum 96-4. Purdue University, 1996.
[17] E. Demirkol, S. Mehta, and R. Uzsoy. Benchmarks for shop scheduling problems.
European Journal of Operational Research, 109.1: 137-141, 1998.
doi: 10.1016/S0377-2217(97)00019-2
[18] H. Fisher and G. L. Thompson. Probabilistic learning combinations of local job-shop scheduling rules.
In: Industrial Scheduling: 225-251. ed. by J.F. Muth and G.L. Thompson. Prentice Hall, 1963.
oclc: 781815542
[19] M. Florian, P. Trepant, and G. McMahon. An Implicit Enumeration Algorithm for the Machine Sequencing Problem.
Management Science, 17.12: B-782-B-792, 1971.
doi: 10.1287/mnsc.17.12.B782 jstor: 2629469
[20] M. Florian, P. Trepant, and G. McMahon. [19] using algorithms of Schrage [48] and Balas [5].
[21] Anis Gharbi and Mohamed Labidi. Extending the Single Machine-Based Relaxation Scheme for the Job Shop Scheduling Problem.
Electronic Notes in Discrete Mathematics, 36: 1057-1064, 2010.
doi: 10.1016/j.endm.2010.05.134
[22] Anis Gharbi and Mohamed Labidi. (2011) using algorithms described in [21] [see 53].
[23] José Fernando Gonçalves and Mauricio G. C. Resende. An extended Akers graphical method with a biased random-key genetic algorithm for job-shop scheduling.
International Transactions in Operational Research, 21.2: 215-246, 2014.
doi: 10.1111/itor.12044
[24] André Henning. [25] achieved in 2000 [see 53].
[25] André Henning. Praktische Job-Shop Scheduling-Probleme.
PhD thesis. Friedrich-Schiller-Universität Jena, 2002.
url: http://www.db-thueringen.de/servlets/DocumentServlet?id=873
[26] Jelke J. van Hoorn. Dynamic Programming for Routing and Scheduling: Optimizing Sequences of Decisions.
PhD thesis. VU University Amsterdam, 2016.
isbn: 978-94-6332-008-5 url: http://jobshop.jjvh.nl/dissertation
[27] Anant Singh Jain. A Multi-Level Hybrid Framework for the Deterministic Job-Shop Scheduling Problem.
PhD thesis. University Of Dundee, 1998.
url: http://www.personal.dundee.ac.uk/~asjain/papers/publications.html
[28] A. S. Jain and S. Meeran. Deterministic job-shop scheduling: Past, present and future.
European Journal of Operational Research, 113.2: 390-434, 1999.
doi: 10.1016/S0377-2217(98)00113-1
[29] Miyuki Koshimura, Hidetomo Nabeshima, Hiroshi Fujita, and Ryuzo Hasegawa. Solving Open Job-Shop Scheduling Problems by SAT Encoding.
IEICE Transactions on Information and Systems, E93.D.8: 2316-2318, 2010.
doi: 10.1587/transinf.E93.D.2316
[30] Peter J. M. van Laarhoven, Emile H. L. Aarts, and Jan Karel Lenstra. Job shop scheduling by simulated annealing.
Operations Research, 40.1: 113-125, 1992.
doi: 10.1287/opre.40.1.113 jstor: 171189
[31] B. J. Lageweg. (1984) [see 30].
[32] S. Lawrence. Resource Constrained Project Scheduling. An Experimental Investigation of Heuristic Scheduling Techniques (Supplement).
Carnegie-Mellon University, 1984.
[33] Paul Douglas Martin. A time-oriented approach to computing optimal schedules for the job-shop scheduling problem.
PhD thesis. Cornell University, 1996.
oclc: 64683112
[34] Hirofumi Matsuo, Chang Juck Suh, and Robert S. Sullivan. A Controlled Search Simulated Annealing Method for the General Job-Shop Scheduling Problem.
Working paper 03-04-88. The University of Texas at Austin, 1988.
[35] Graham McMahon and Michael Florian. On Scheduling with Ready Times and Due Dates to Minimize Maximum Lateness.
Operations Research, 23.3: 475-482, 1975.
doi: 10.1287/opre.23.3.475 jstor: 169697
[36] Yuichi Nagata and Satoshi Tojo. Guided Ejection Search for the Job Shop Scheduling Problem.
In: Evolutionary Computation in Combinatorial Optimization: 168-179. ed. by Carlos Cotta and Peter Cowling.
LNCS, 5482. Springer, 2009.
doi: 10.1007/978-3-642-01009-5_15 isbn: 978-3-642-01008-8
[37] Yuichi Nagata and Isao Ono. Guided Constructive Local Search for the Job Shop Scheduling Problem.
submitted for publication, 2013.
[38] Eugeniusz Nowicki and Czeslaw Smutnicki. Some new tools to solve the job-shop problem.
Technical Report 60/02. Wroclaw University of Technology, 2001.
[39] Eugeniusz Nowicki and Czeslaw Smutnicki. [41] achieved in 2001 [see 53].
[40] Eugeniusz Nowicki and Czeslaw Smutnicki. [41] achieved in 2002 [see 53].
[41] Eugeniusz Nowicki and Czeslaw Smutnicki. An Advanced Tabu Search Algorithm for the Job Shop Problem.
Journal of Scheduling, 8.2: 145-159, 2005.
doi: 10.1007/s10951-005-6364-5
[42] Eugeniusz Nowicki and Czeslaw Smutnicki. A Fast Taboo Search Algorithm for the Job Shop Proble.
Management Science, 42.6: 797-813, 1996.
doi: 10.1287/mnsc.42.6.797 jstor: 2634595
[43] Panos M. Pardalos and Oleg V. Shylo. An Algorithm for the Job Shop Scheduling Problem based on Global Equilibrium Search Techniques.
Computational Management Science, 3.4: 331-348, 2006.
doi: 10.1007/s10287-006-0023-y
[44] Panos M. Pardalos, Oleg V. Shylo, and Alkis Vazacopoulos. Solving job shop scheduling problems utilizing the properties of backbone and "big valley".
Computational Optimization and Applications, 47.1: 61-76, 2010.
doi: 10.1007/s10589-008-9206-5
[45] Panos M. Pardalos, Oleg V. Shylo, and Alkis Vazacopoulos. (2010) [see 50]. However 1790 is mentioned. 1785 is found in [23].
[46] Bo Peng, Zhipeng Lü, and T. C. E. Cheng. A tabu search/path relinking algorithm to solve the job shop scheduling problem.
Computers & Operations Research, 53: 154-164, 2015.
doi: 10.1016/j.cor.2014.08.006
[47] R. Schilham. (2000) [see 53].
[48] Linus Schrage. Solving Resource-Constrained Network Problems by Implicit Enumeration-Nonpreemptive Case.
Operations Research, 18.2: 263-278, 1970.
doi: 10.1287/opre.18.2.263 jstor: 168683
[49] Oleg V. Shylo. (2013) [see 50].
[50] Oleg V. Shylo. Job Shop Scheduling at Oleg V. Shylo: Personal Webpage.
url: http://optimizizer.com/jobshop.php
[51] R.H. Storer, S.D. Wu and R. Vaccari. New search spaces for sequencing instances with application to job shop scheduling.
Management Science, 38.10: 1495-1509, 1992.
doi: 10.1287/mnsc.38.10.1495
[52] E. D. Taillard. Benchmarks for basic scheduling problems.
European Journal of Operational Research, 64.2: 278-285, 1993.
doi: 10.1016/0377-2217(93)90182-M
[53] Éric D. Taillard. Éric Taillard's page.
url: http://mistic.heig-vd.ch/taillard/problemes.dir/ordonnancement.dir/ordonnancement.html
[54] Søren Thomsen. Metaheuristikker kombineret med Branch & Bound.
Master thesis. Copenhagen Business School, 1997.
oclc: 464628711
[55] R. J. M. Vaessens. using algorithms of [4] (1994) [see 28].
[56] R. J. M. Vaessens. (1995) [see 53].
[57] R. J. M. Vaessens, E.H.L. Aarts, and J.K. Lenstra. Job Shop Scheduling by Local Search.
INFORMS Journal on Computing, 8.3: 302-317, 1996.
doi: 10.1287/ijoc.8.3.302
[58] R. J. M. Vaessens. Addition to the OR-Library [7]. 1996.
[59] Petr Vilím, Philippe Laborie, and Paul Shaw. Failure-Directed Search for Constraint-Based Scheduling.
In: Integration of AI and OR Techniques in Constraint Programming: 437-453. ed. by Laurent Michel.
LNCS, 9075. Springer, 2015.
doi: 10.1007/978-3-319-18008-3_30 isbn: 978-3-319-18007-6
[60] Petr Vilím, Philippe Laborie, and Paul Shaw. Failure-Directed Search for Constraint-Based Scheduling - Detailed Experimental Results.
url: http://vilim.eu/petr/cpaior2015-results.pdf
[61] Petr Vilím, Philippe Laborie, and Paul Shaw. [59] (2015) results can be found in [60].
[62] M. Wennink. (1995) [see 53].
[63] T. Yamada and R. Nakano. A genetic algorithm applicable to large-scale job-shop instances.
In: Parallel instance solving from nature II: 281-290. ed. by R. Manner and B. Manderick. Elsevier, 1992.
isbn: 978-0-444-89730-5
[64] ChaoYong Zhang, PeiGen Li, ZaiLin Guan, and YunQing Rao. A tabu search algorithm with a new neighborhood structure for the job shop scheduling problem.
Computers & Operations Research, 34.11: 3229-3242, 2007.
doi: 10.1016/j.cor.2005.12.002
[65] ChaoYong Zhang, PeiGen Li, YunQing Rao, and ZaiLin Guan. A very fast TS/SA algorithm for the job shop scheduling problem.
Computers & Operations Research, 35.1: 282-294, 2008.
doi: 10.1016/j.cor.2006.02.024