Intelligent scheduling with GUESS (Generically Used Expert Scheduling System): Development and testing results

被引：2

作者：

Liebowitz, J ^{[1
]}

Krishnamurthy, V

Rodens, I

Houston, C

Baek, S

Liebowitz, A

Zeide, J

Potter, WJ

机构：

[1] George Washington Univ, Dept Management Sci, Washington, DC 20052 USA

[2] Amer Minor Engn Corp, Kensington, MD 20895 USA

[3] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA

来源：

EXPERT SYSTEMS | 1997年 / 14卷 / 03期

关键词：

intelligent scheduling; expert systems; genetic algorithm; constraint-based satisfaction; intelligent systems;

D O I：

10.1111/1468-0394.00048

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Scheduling is a prevalent function that is omnipresent throughout many industries and applications (Pinedo, 1995; Morton & Pentico, 1993; Zweben & Fox, 1994; Brown & Scherer, 1995). A great need exists for developing scheduling toolkits that carl be generically applied to a number of different scheduling problems. To meet this need, more research is warranted for developing a state-of-the-art generic constraint problem-solver as related to scheduling. This paper discusses the development and resting of the Generically Used Expert Scheduling System (GUESS).

引用

页码：119 / 128

页数：10