A REVIEW OF MACHINE LEARNING IN SCHEDULING

被引：82

作者：

AYTUG, H ^{[1
]}

BHATTACHARYYA, S ^{[1
]}

KOEHLER, GJ ^{[1
]}

SNOWDON, JL ^{[1
]}

机构：

[1] IBM CORP,BOCA RATON,FL 33429

来源：

IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT | 1994年 / 41卷 / 02期

关键词：

D O I：

10.1109/17.293383

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper has two primary purposes: to motivate the need for machine learning in scheduling systems and to survey work on machine learning in scheduling. In order to motivate the need for machine learning in scheduling, we briefly motivate the need for systems employing artificial intelligence methods for scheduling. This leads to a need for incorporating adaptive methods-learning.

引用

页码：165 / 171

页数：7

共 52 条

[1] A PATTERN-RECOGNITION-BASED METHOD FOR CONTROLLING A MULTI-LOOP PRODUCTION SYSTEM
ADACHI, T
MOODIE, CL
TALAVAGE, JJ
[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1988, 26 (12) : 1943 - 1957
[2] Adachi T., 1989, Artificial Intelligence in Engineering, V4, P115, DOI 10.1016/0954-1810(89)90008-3
[3] Ammons J. C., 1988, Annals of Operations Research, V15, P313, DOI 10.1007/BF02186801
[4] Bel G., 1989, KNOWL-BASED SYST, P207
[5] BITRAN G, 1988, INTELL MANUFACT, P13
[6] A STATE-OF-THE-ART SURVEY OF DISPATCHING RULES FOR MANUFACTURING JOB SHOP OPERATIONS
BLACKSTONE, JH
PHILLIPS, DT
HOGG, GL
[J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1982, 20 (01) : 27 - 45
[7] BLESSING JA, WORLD PRODUCTIVITY F, P82
[8] PRODUCTION SCHEDULING - PRACTICE AND THEORY
BUXEY, G
[J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1989, 39 (01) : 17 - 31
[9] NEGOTIATION AS A METAPHOR FOR DISTRIBUTED PROBLEM-SOLVING
DAVIS, R
SMITH, RG
[J]. ARTIFICIAL INTELLIGENCE, 1983, 20 (01) : 63 - 109
[10] De S., 1988, Annals of Operations Research, V12, P109, DOI 10.1007/BF02186363

← 1 2 3 4 5 6 →