Abstract
Solutions to deterministic network design problems are feasible, but often far from optimal, solutions to stochastic versions of the problem. On the other hand, deterministic models are much easier to solve. We demonstrate that deterministic solutions, despite being of rather low quality, are very useful in finding good, if not optimal, solutions to stochastic multi-commodity network design models.
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