25:
526:
Performance improvements in the primal simplex and barrier methods, as well as the MIP optimizer. Indicator constraints and solution polishing heuristics are introduced and improvements to infeasibility analysis are made.
492:
More parallelism at the root node, deterministic parallel concurrent LP optimization, along with some additional barrier performance improvements and additional tools for diagnosing ill conditioned basis matrices in MIPs.
977:
515:
Breakthrough performance gains for mixed integer programming (MIP) models and enhanced parallel MIP optimization. The MIP solution pool feature and the performance tuning utility are introduced.
538:
Performance improvements in primal and dual simplex methods and the MIP optimizer. It includes ILOG Concert
Technology for .NET users and support for quadratically constrained programs.
1581:
970:
894:
470:
Deterministic time limit support, duals for SOCPs, quadratic expression API in
Concert, performance improvements across all algorithms, but especially MIP.
1821:
1390:
963:
322:
The full IBM ILOG CPLEX Optimization Studio consists of the CPLEX Optimizer for mathematical programming, the CP Optimizer for constraint programming, the
296:
language interface based on the C interface. Finally, a stand-alone
Interactive Optimizer executable is provided for debugging and other purposes.
459:
MIP performance improvements, random seed parameter to address performance variability, remote object, duals for QCPs, deterministic tuning tool.
504:
The first version after IBM acquired ILOG. Includes connectors for Python, MATLAB and Excel. Deterministic parallel barrier is also included.
739:
393:
MIP performance improvements and the addition of a generic branching callback to the other generic callbacks introduced in version 12.8.
1799:
162:
753:
1060:
323:
308:
108:
46:
39:
822:
285:
945:
1792:
1641:
1479:
1439:
1355:
1236:
1055:
986:
274:
1724:
1661:
1528:
1454:
1375:
1261:
1256:
1191:
1120:
719:
426:
Automated
Benders decomposition, modeling assistance tool, runseeds command to better assess performance variability.
293:
141:
89:
1646:
1562:
1523:
1449:
1365:
1251:
1201:
1065:
210:
481:
Support for large nonzero counts that require 64 bit indexing, local optima for non-convex QP, and globalization.
61:
35:
1330:
1211:
582:
Significant performance improvements in primal and dual simplex methods, and ILOG CPLEX Mixed
Integer Optimizer.
289:
230:
1543:
448:
Support for nonconvex QPs and MIQPs, distributed parallel MIP and more parallelism at the root node for MIPs..
415:
Generic callback, API recorder to facilitate debugging, subMIP control parameters, Download and Go offering.
68:
1739:
226:
873:
852:
437:
Performance improvements (mainly for SOCP, MISOCP, non-convex QP), support for cloud based optimization.
1826:
1572:
1286:
1025:
270:
266:
75:
593:
Significant performance improvements in primal and dual simplex methods, and CPLEX Barrier
Optimizer.
174:
1691:
1631:
1508:
1226:
254:
157:
57:
1143:
1139:
258:
938:
185:
1616:
1498:
1419:
1335:
1206:
804:
759:
714:
169:
1729:
1671:
1611:
1459:
1370:
1266:
234:
280:
The CPLEX Optimizer has a modeling layer called
Concert that provides interfaces to the
1769:
1596:
1488:
1409:
1305:
1161:
262:
222:
830:
795:
Laborie P, Rogerie J, Shaw P, Vilim P (2018). "IBM ILOG CP optimizer for scheduling".
1815:
955:
404:
Direct support for multiobjective optimization, callback functionality improvement.
1015:
1005:
784:, EURO XXII Prague, Czech Republic: Dept of Math and Stats Arizona State University
626:
Redesigned advanced programming interface (API) to allow thread-safe applications.
82:
929:
334:
Prior to IBM acquiring ILOG, the CPLEX team published a release history of CPLEX.
1774:
1764:
1714:
1681:
1552:
1533:
1513:
1469:
1464:
1434:
1380:
1350:
1276:
1231:
1115:
1085:
1010:
1000:
780:
Mittelmann, H. D. (10 July 2007), "Recent
Benchmarks of Optimization Software",
704:
237:
and sold commercially from 1988 by CPLEX Optimization Inc. This was acquired by
24:
920:
549:
MIP performance improvements and support for mixed integer quadratic programs.
299:
The CPLEX Optimizer is accessible through independent modeling systems such as
808:
127:
1044:
319:. In addition to that AMPL provides an interface to the CPLEX CP Optimizer.
1699:
1591:
1404:
1300:
1221:
1156:
1090:
1709:
1606:
1315:
1310:
1271:
1176:
1171:
1166:
1100:
1049:
681:
Support for the dual simplex method and CPLEX Mixed
Integer Optimizer.
1759:
1651:
1636:
1325:
1186:
1130:
1110:
1095:
316:
312:
273:
problems, and convex quadratically constrained problems (solved via
233:
and offers interfaces other than C. It was originally developed by
281:
245:
in
January 2009. CPLEX continues to be actively developed by IBM.
1719:
1704:
1676:
1666:
1656:
1626:
1621:
1601:
1586:
1557:
1518:
1503:
1444:
1429:
1424:
1399:
1360:
1345:
1340:
1295:
1246:
1241:
1216:
1151:
1105:
1075:
1034:
300:
1196:
1070:
1039:
709:
371:
Python 3.9 and 3.10 support added, new solver parameters added.
304:
238:
959:
382:
MIP performance improvements, new 'emphasis MIP 5' mode, etc.
242:
18:
950:
946:
Free preview edition of IBM ILOG CPLEX Optimization Studio
360:
Python 3.7 support dropped, new solver parameter added.
261:
problems using either primal or dual variants of the
16:
Optimization software package for linear programming
1738:
1690:
1571:
1542:
1478:
1389:
1285:
1138:
1129:
1024:
993:
615:Parallel CPLEX Mixed Integer Solver is introduced.
180:
168:
156:
140:
126:
229:, although today it also supports other types of
782:22nd European Conference on Operational Research
241:in 1997 and ILOG was subsequently acquired by
971:
740:"CPLEX Optimization Studio 20.1 is available"
637:Parallel CPLEX Barrier Solver is introduced.
8:
121:
659:Introduction of CPLEX Presolve algorithms.
604:New memory model for easy C++ integration.
1135:
978:
964:
956:
120:
109:Learn how and when to remove this message
560:ILOG Concert Technology for Java users.
337:
205:(often informally referred to simply as
939:Optimization Programming Language (OPL)
731:
571:ILOG Concert Technology for C++ users.
221:The CPLEX Optimizer was named for the
45:Please improve this article by adding
930:IBM ILOG CPLEX CP Optimizer home page
326:(OPL), and a tightly integrated IDE.
7:
648:CPLEX Barrier Solver is introduced.
253:The IBM ILOG CPLEX Optimizer solves
1800:Comparison of optimization software
1822:Mathematical optimization software
987:Mathematical optimization software
921:IBM ILOG CPLEX Optimizer home page
827:CPLEX History as published by ILOG
203:IBM ILOG CPLEX Optimization Studio
14:
755:IBM Completes Acquisition of ILOG
324:Optimization Programming Language
874:"Release notes for CPLEX 22.1.0"
853:"Release notes for CPLEX 22.1.1"
23:
194:/ilog-cplex-optimization-studio
1:
1793:List of optimization software
275:second-order cone programming
47:secondary or tertiary sources
951:IBM ILOG Optimization Forums
758:, 6 Jan 2009, archived from
1843:
895:"CPLEX 20.1 Release Notes"
670:Performance improvements.
1787:
809:10.1007/s10601-018-9281-x
231:mathematical optimization
152:
136:
269:, convex and non-convex
292:languages. There is a
692:Primal Simplex Method
227:C programming language
34:relies excessively on
271:quadratic programming
267:interior point method
257:problems, very large
762:on January 22, 2009
339:
255:integer programming
225:implemented in the
163:Technical computing
123:
338:
259:linear programming
213:software package.
1809:
1808:
1783:
1782:
696:
695:
200:
199:
119:
118:
111:
93:
1834:
1682:Xpress NonLinear
1617:Gurobi Optimizer
1534:Xpress Optimizer
1499:Gurobi Optimizer
1470:Xpress NonLinear
1465:Xpress Optimizer
1420:Gurobi Optimizer
1381:Xpress Optimizer
1336:Gurobi Optimizer
1277:Xpress Optimizer
1207:Gurobi Optimizer
1136:
980:
973:
966:
957:
942:
941:
933:
932:
924:
923:
906:
905:
903:
901:
891:
885:
884:
882:
880:
870:
864:
863:
861:
859:
849:
843:
842:
840:
838:
833:on 13 April 2009
829:. Archived from
819:
813:
812:
792:
786:
785:
777:
771:
770:
769:
767:
750:
744:
743:
736:
715:Gurobi Optimizer
601:September, 1997
340:
196:
193:
191:
189:
187:
124:
114:
107:
103:
100:
94:
92:
51:
27:
19:
1842:
1841:
1837:
1836:
1835:
1833:
1832:
1831:
1812:
1811:
1810:
1805:
1779:
1734:
1730:Octeract Engine
1686:
1672:Octeract Engine
1612:Galahad library
1567:
1538:
1474:
1460:Octeract Engine
1385:
1371:Octeract Engine
1281:
1267:Octeract Engine
1125:
1020:
989:
984:
937:
936:
928:
927:
919:
918:
915:
910:
909:
899:
897:
893:
892:
888:
878:
876:
872:
871:
867:
857:
855:
851:
850:
846:
836:
834:
823:"CPLEX History"
821:
820:
816:
794:
793:
789:
779:
778:
774:
765:
763:
752:
751:
747:
738:
737:
733:
728:
701:
623:December, 1995
557:December, 2001
535:December, 2003
467:November, 2011
445:December, 2013
423:November, 2016
412:December, 2017
390:December, 2019
379:December, 2020
357:December, 2022
335:
332:
330:Release history
265:or the barrier
251:
235:Robert E. Bixby
219:
184:
148:
115:
104:
98:
95:
52:
50:
44:
40:primary sources
28:
17:
12:
11:
5:
1840:
1838:
1830:
1829:
1824:
1814:
1813:
1807:
1806:
1804:
1803:
1796:
1788:
1785:
1784:
1781:
1780:
1778:
1777:
1772:
1767:
1762:
1757:
1751:
1748:
1744:
1742:
1736:
1735:
1733:
1732:
1727:
1722:
1717:
1712:
1707:
1702:
1696:
1694:
1688:
1687:
1685:
1684:
1679:
1674:
1669:
1664:
1659:
1654:
1649:
1644:
1639:
1634:
1629:
1624:
1619:
1614:
1609:
1604:
1599:
1597:Artelys Knitro
1594:
1589:
1584:
1578:
1576:
1569:
1568:
1566:
1565:
1560:
1555:
1549:
1547:
1540:
1539:
1537:
1536:
1531:
1526:
1521:
1516:
1511:
1506:
1501:
1496:
1491:
1489:Artelys Knitro
1485:
1483:
1476:
1475:
1473:
1472:
1467:
1462:
1457:
1452:
1447:
1442:
1437:
1432:
1427:
1422:
1417:
1412:
1410:Artelys Knitro
1407:
1402:
1396:
1394:
1387:
1386:
1384:
1383:
1378:
1373:
1368:
1363:
1358:
1353:
1348:
1343:
1338:
1333:
1328:
1323:
1318:
1313:
1308:
1306:Artelys Knitro
1303:
1298:
1292:
1290:
1283:
1282:
1280:
1279:
1274:
1269:
1264:
1259:
1254:
1249:
1244:
1239:
1234:
1229:
1224:
1219:
1214:
1209:
1204:
1199:
1194:
1189:
1184:
1179:
1174:
1169:
1164:
1162:Artelys Knitro
1159:
1154:
1148:
1146:
1133:
1127:
1126:
1124:
1123:
1118:
1113:
1108:
1103:
1098:
1093:
1088:
1083:
1078:
1073:
1068:
1063:
1058:
1053:
1047:
1042:
1037:
1031:
1029:
1022:
1021:
1019:
1018:
1013:
1008:
1003:
997:
995:
991:
990:
985:
983:
982:
975:
968:
960:
954:
953:
948:
943:
934:
925:
914:
913:External links
911:
908:
907:
886:
865:
844:
814:
803:(2): 210–250.
787:
772:
745:
730:
729:
727:
724:
723:
722:
717:
712:
707:
700:
697:
694:
693:
690:
687:
683:
682:
679:
676:
672:
671:
668:
665:
661:
660:
657:
654:
650:
649:
646:
643:
639:
638:
635:
632:
628:
627:
624:
621:
617:
616:
613:
610:
606:
605:
602:
599:
595:
594:
591:
588:
584:
583:
580:
577:
573:
572:
569:
568:October, 2000
566:
562:
561:
558:
555:
551:
550:
547:
544:
540:
539:
536:
533:
529:
528:
524:
523:January, 2006
521:
517:
516:
513:
512:October, 2007
510:
506:
505:
502:
499:
495:
494:
490:
487:
483:
482:
479:
476:
472:
471:
468:
465:
461:
460:
457:
456:October, 2012
454:
450:
449:
446:
443:
439:
438:
435:
432:
428:
427:
424:
421:
417:
416:
413:
410:
406:
405:
402:
399:
395:
394:
391:
388:
384:
383:
380:
377:
373:
372:
369:
366:
362:
361:
358:
355:
351:
350:
347:
344:
331:
328:
263:simplex method
250:
247:
223:simplex method
218:
215:
198:
197:
182:
178:
177:
172:
166:
165:
160:
154:
153:
150:
149:
146:
144:
142:Stable release
138:
137:
134:
133:
130:
117:
116:
31:
29:
22:
15:
13:
10:
9:
6:
4:
3:
2:
1839:
1828:
1825:
1823:
1820:
1819:
1817:
1802:
1801:
1797:
1795:
1794:
1790:
1789:
1786:
1776:
1773:
1771:
1768:
1766:
1763:
1761:
1758:
1755:
1752:
1749:
1747:Artelys Kalis
1746:
1745:
1743:
1741:
1737:
1731:
1728:
1726:
1723:
1721:
1718:
1716:
1713:
1711:
1708:
1706:
1703:
1701:
1698:
1697:
1695:
1693:
1689:
1683:
1680:
1678:
1675:
1673:
1670:
1668:
1665:
1663:
1660:
1658:
1655:
1653:
1650:
1648:
1645:
1643:
1640:
1638:
1635:
1633:
1630:
1628:
1625:
1623:
1620:
1618:
1615:
1613:
1610:
1608:
1605:
1603:
1600:
1598:
1595:
1593:
1590:
1588:
1585:
1583:
1580:
1579:
1577:
1574:
1570:
1564:
1561:
1559:
1556:
1554:
1551:
1550:
1548:
1545:
1541:
1535:
1532:
1530:
1527:
1525:
1522:
1520:
1517:
1515:
1512:
1510:
1507:
1505:
1502:
1500:
1497:
1495:
1492:
1490:
1487:
1486:
1484:
1481:
1477:
1471:
1468:
1466:
1463:
1461:
1458:
1456:
1453:
1451:
1448:
1446:
1443:
1441:
1438:
1436:
1433:
1431:
1428:
1426:
1423:
1421:
1418:
1416:
1413:
1411:
1408:
1406:
1403:
1401:
1398:
1397:
1395:
1392:
1388:
1382:
1379:
1377:
1374:
1372:
1369:
1367:
1364:
1362:
1359:
1357:
1354:
1352:
1349:
1347:
1344:
1342:
1339:
1337:
1334:
1332:
1329:
1327:
1324:
1322:
1319:
1317:
1314:
1312:
1309:
1307:
1304:
1302:
1299:
1297:
1294:
1293:
1291:
1288:
1284:
1278:
1275:
1273:
1270:
1268:
1265:
1263:
1260:
1258:
1255:
1253:
1250:
1248:
1245:
1243:
1240:
1238:
1235:
1233:
1230:
1228:
1225:
1223:
1220:
1218:
1215:
1213:
1210:
1208:
1205:
1203:
1200:
1198:
1195:
1193:
1190:
1188:
1185:
1183:
1180:
1178:
1175:
1173:
1170:
1168:
1165:
1163:
1160:
1158:
1155:
1153:
1150:
1149:
1147:
1145:
1141:
1137:
1134:
1132:
1128:
1122:
1119:
1117:
1114:
1112:
1109:
1107:
1104:
1102:
1099:
1097:
1094:
1092:
1089:
1087:
1084:
1082:
1079:
1077:
1074:
1072:
1069:
1067:
1064:
1062:
1059:
1057:
1054:
1051:
1048:
1046:
1043:
1041:
1038:
1036:
1033:
1032:
1030:
1027:
1023:
1017:
1014:
1012:
1009:
1007:
1004:
1002:
999:
998:
996:
992:
988:
981:
976:
974:
969:
967:
962:
961:
958:
952:
949:
947:
944:
940:
935:
931:
926:
922:
917:
916:
912:
896:
890:
887:
875:
869:
866:
854:
848:
845:
832:
828:
824:
818:
815:
810:
806:
802:
798:
791:
788:
783:
776:
773:
761:
757:
756:
749:
746:
741:
735:
732:
725:
721:
718:
716:
713:
711:
708:
706:
703:
702:
698:
691:
688:
685:
684:
680:
677:
674:
673:
669:
666:
663:
662:
658:
655:
652:
651:
647:
644:
641:
640:
636:
633:
630:
629:
625:
622:
619:
618:
614:
611:
608:
607:
603:
600:
597:
596:
592:
589:
586:
585:
581:
578:
575:
574:
570:
567:
564:
563:
559:
556:
553:
552:
548:
545:
542:
541:
537:
534:
531:
530:
525:
522:
519:
518:
514:
511:
508:
507:
503:
500:
497:
496:
491:
488:
485:
484:
480:
477:
474:
473:
469:
466:
463:
462:
458:
455:
452:
451:
447:
444:
441:
440:
436:
433:
430:
429:
425:
422:
419:
418:
414:
411:
408:
407:
403:
400:
397:
396:
392:
389:
386:
385:
381:
378:
375:
374:
370:
367:
364:
363:
359:
356:
353:
352:
349:Key Features
348:
346:Release Date
345:
342:
341:
336:
329:
327:
325:
320:
318:
314:
310:
306:
302:
297:
295:
291:
287:
283:
278:
276:
272:
268:
264:
260:
256:
248:
246:
244:
240:
236:
232:
228:
224:
216:
214:
212:
208:
204:
195:
183:
179:
176:
173:
171:
167:
164:
161:
159:
155:
151:
145:
143:
139:
135:
131:
129:
125:
113:
110:
102:
91:
88:
84:
81:
77:
74:
70:
67:
63:
60: –
59:
55:
54:Find sources:
48:
42:
41:
37:
32:This article
30:
26:
21:
20:
1827:IBM software
1798:
1791:
1775:Xpress Kalis
1756:CP Optimizer
1753:
1493:
1414:
1320:
1181:
1116:Xpress Mosel
1080:
1066:GNU MathProg
994:Data formats
898:. Retrieved
889:
877:. Retrieved
868:
856:. Retrieved
847:
835:. Retrieved
831:the original
826:
817:
800:
796:
790:
781:
775:
764:, retrieved
760:the original
754:
748:
734:
667:April, 1992
656:March, 1993
645:April, 1994
634:March, 1995
612:March, 1996
590:April, 1998
579:March, 1999
501:April, 2009
401:March, 2019
368:March, 2022
333:
321:
298:
279:
277:, or SOCP).
252:
220:
211:optimization
206:
202:
201:
128:Developer(s)
105:
96:
86:
79:
72:
65:
53:
33:
1765:Mathematica
1715:Mathematica
1553:Mathematica
1514:Mathematica
1435:Mathematica
1351:Mathematica
1232:Mathematica
1202:GLPK/GLPSOL
1086:Mathematica
1001:Mathematica
797:Constraints
705:FICO Xpress
546:July, 2002
489:June, 2010
478:June, 2011
434:June, 2015
175:Proprietary
1816:Categories
879:11 January
858:11 January
726:References
147:20.1.0
69:newspapers
36:references
1045:APMonitor
192:/products
1700:ANTIGONE
1592:ANTIGONE
1482:, MISOCP
1405:ANTIGONE
1301:ANTIGONE
1272:SYMPHONY
1222:Lp_solve
1157:ANTIGONE
1091:MiniZinc
1026:Modeling
699:See also
343:Version
249:Features
209:) is an
99:May 2016
1710:Couenne
1607:Couenne
1575:, MINLP
1546:, MISDP
1393:, MIQCP
1131:Solvers
1050:ECLiPSe
900:4 March
837:24 June
766:24 June
431:12.6.2
365:22.1.0
354:22.1.1
217:History
181:Website
170:License
83:scholar
58:"CPLEX"
1760:Gecode
1652:NLPQLP
1637:MIDACO
1326:FortMP
1289:, MIQP
1262:SoPlex
1187:FortMP
1111:TOMLAB
1096:OptimJ
631:3.0.8
609:4.0.5
387:12.10
317:TOMLAB
313:OptimJ
294:Python
288:, and
85:
78:
71:
64:
56:
1770:JaCoP
1754:CPLEX
1750:Comet
1720:LINDO
1705:BARON
1677:WORHP
1667:SNOPT
1657:NPSOL
1642:MINOS
1627:LINDO
1622:IPOPT
1602:BARON
1587:APOPT
1558:MOSEK
1519:MOSEK
1504:LINDO
1494:CPLEX
1445:MOSEK
1440:MINOS
1430:LINDO
1425:IPOPT
1415:CPLEX
1400:APOPT
1361:MOSEK
1356:MINOS
1346:LINDO
1341:IPOPT
1331:HiGHS
1321:CPLEX
1296:APOPT
1247:MOSEK
1242:MINTO
1237:MINOS
1217:LINDO
1212:HiGHS
1182:CPLEX
1152:APOPT
1121:ZIMPL
1106:Pyomo
1076:LINDO
1056:Gekko
1035:AIMMS
1028:tools
689:1988
678:1991
520:10.0
509:11.0
498:12.0
486:12.2
475:12.3
464:12.4
453:12.5
442:12.6
420:12.7
409:12.8
398:12.9
376:20.1
301:AIMMS
207:CPLEX
122:CPLEX
90:JSTOR
76:books
1725:SCIP
1662:SCIP
1632:LOQO
1529:SCIP
1509:LOQO
1480:SOCP
1455:SCIP
1376:SCIP
1257:SCIP
1227:LOQO
1197:GLOP
1144:MILP
1101:PuLP
1071:JuMP
1061:GAMS
1052:-CLP
1040:AMPL
902:2021
881:2023
860:2023
839:2020
768:2020
720:SCIP
710:GLPK
686:1.0
675:1.2
664:2.0
653:2.1
642:3.0
620:4.0
598:5.0
587:6.0
576:6.5
565:7.0
554:7.5
543:8.0
532:9.0
315:and
309:GAMS
305:AMPL
290:Java
239:ILOG
190:.com
188:.ibm
158:Type
62:news
1647:NAG
1582:AOA
1573:NLP
1563:NAG
1544:SDP
1524:NAG
1450:NAG
1391:QCP
1366:NAG
1316:CLP
1311:CBC
1252:NAG
1192:GCG
1177:CBC
1172:CLP
1167:BCP
1081:OPL
1016:sol
1006:MPS
805:doi
282:C++
243:IBM
186:www
132:IBM
38:to
1818::
1740:CP
1692:GO
1287:QP
1142:,
1140:LP
1011:nl
825:.
801:23
799:.
311:,
307:,
303:,
286:C#
284:,
49:.
979:e
972:t
965:v
904:.
883:.
862:.
841:.
811:.
807::
742:.
112:)
106:(
101:)
97:(
87:·
80:·
73:·
66:·
43:.
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
