Preface: Business Applications of Artificial Intelligence Vijay S. DesaiGary KoehlerM.A. Venkataramanan OriginalPaper Pages: 0 - 0
Genetic learning through simulation: An investigation in shop floor scheduling Haldun AytugSiddhartha BhattacharyyaGary J. Koehler OriginalPaper Pages: 1 - 29
Solution approaches to hub location problems Sue Abdinnour-HelmM.A. Venkataramanan OriginalPaper Pages: 31 - 50
An application of genetic and tabu searches to the freight railroad operating plan problem Michael Francis Gorman OriginalPaper Pages: 51 - 69
A genetic algorithm for discriminant analysis Daniel G. ConwayA. Victor CabotM.A. Venkataramanan OriginalPaper Pages: 71 - 82
A neural network model to predict long-run operating performance of new ventures Bharat A. JainBarin N. Nag OriginalPaper Pages: 83 - 110
A distributed problem-solving approach for owner-contractor prequalification Sang Chan ParkJeffrey S. RussellMahmoud A. Taha OriginalPaper Pages: 111 - 125
A comparison of linear regression and neural network methods for predicting excess returns on large stocks Vijay S. DesaiRakesh Bharati OriginalPaper Pages: 127 - 163
The weight decay backpropagation for generalizations with missing values Amit GuptaMonica Lam OriginalPaper Pages: 165 - 187
Heuristics for efficient classification Kathryn FraughnaughJennifer RyanLouis Anthony Cox Jr. OriginalPaper Pages: 189 - 200
Using tabu search to determine the number of kanbans and lotsizes in a generic kanban system Andrew D. MartinTe-Min ChangRex K. Kincaid OriginalPaper Pages: 201 - 217
Decision support system for scheduling a Flexible Flow System: Incorporation of feature construction Selwyn PiramuthuNarayan RamanMichael J. Shaw OriginalPaper Pages: 219 - 234