1. Preface: Business Applications of Artificial Intelligence

   • Vijay S. Desai
   • Gary Koehler
   • M.A. Venkataramanan

   OriginalPaper Pages: 0 - 0

2. Genetic learning through simulation: An investigation in shop floor scheduling

   • Haldun Aytug
   • Siddhartha Bhattacharyya
   • Gary J. Koehler

   OriginalPaper Pages: 1 - 29

3. Solution approaches to hub location problems

   • Sue Abdinnour-Helm
   • M.A. Venkataramanan

   OriginalPaper Pages: 31 - 50

4. An application of genetic and tabu searches to the freight railroad operating plan problem

   • Michael Francis Gorman

   OriginalPaper Pages: 51 - 69

5. A genetic algorithm for discriminant analysis

   • Daniel G. Conway
   • A. Victor Cabot
   • M.A. Venkataramanan

   OriginalPaper Pages: 71 - 82

6. A neural network model to predict long-run operating performance of new ventures

   • Bharat A. Jain
   • Barin N. Nag

   OriginalPaper Pages: 83 - 110

7. A distributed problem-solving approach for owner-contractor prequalification

   • Sang Chan Park
   • Jeffrey S. Russell
   • Mahmoud A. Taha

   OriginalPaper Pages: 111 - 125

8. A comparison of linear regression and neural network methods for predicting excess returns on large stocks

   • Vijay S. Desai
   • Rakesh Bharati

   OriginalPaper Pages: 127 - 163

9. The weight decay backpropagation for generalizations with missing values

   • Amit Gupta
   • Monica Lam

   OriginalPaper Pages: 165 - 187

10. Heuristics for efficient classification

    • Kathryn Fraughnaugh
    • Jennifer Ryan
    • Louis Anthony Cox Jr.

    OriginalPaper Pages: 189 - 200

11. Using tabu search to determine the number of kanbans and lotsizes in a generic kanban system

    • Andrew D. Martin
    • Te-Min Chang
    • Rex K. Kincaid

    OriginalPaper Pages: 201 - 217

12. Decision support system for scheduling a Flexible Flow System: Incorporation of feature construction

    • Selwyn Piramuthu
    • Narayan Raman
    • Michael J. Shaw

    OriginalPaper Pages: 219 - 234