| 175 | -- | 0 | Samuel J. Raff. Preface |
| 177 | -- | 178 | James P. Ignizio, Laura I. Burke. Foreword |
| 179 | -- | 189 | Laura I. Burke, James P. Ignizio. Neural networks and operations research: An overview |
| 191 | -- | 208 | Chee-Kit Looi. Neural network methods in combinatorial optimization |
| 209 | -- | 240 | Mark D. Johnston, Hans-Martin Adorf. Scheduling with neural networks - the case of the hubble space telescope |
| 241 | -- | 254 | Shivakumar Vaithyanathan, James P. Ignizio. A stochastic neural network for resource constrained scheduling |
| 255 | -- | 265 | Laura I. Burke, Poulomi Damany. The guilty net for the traveling salesman problem |
| 267 | -- | 276 | Jean-Yves Potvin, Yu Shen, Jean-Marc Rousseau. Neural networks for automated vehicle dispatching |
| 277 | -- | 285 | Lenore Desilets, Bruce L. Golden, Qiwen Wang, Ram Kumar. Predicting salinity in the chesapeake bay using backpropagation |
| 287 | -- | 295 | Jaishankar Chakrapani, Jadranka Skorin-Kapov. A connectionist approach to the quadratic assignment problem |
| 297 | -- | 311 | Jun Wang, Vira Chankong. Recurrent neural networks for linear programming: Analysis and design principles |