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In many practical applications it is observable that optimal solutions are vulnerable to changes in environmental-or decision-variables and therefore become suboptimal or even infeasible in uncertain environments. Solutions immune or less vulnerable to such uncertainties are called robust. In this paper we present and compare two algorithms for creating robust solutions to the vehicle routing problem...
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